It would have to be this:
No agent can have more correct information about a pair of incompatible physical parameters than a certain fundamental limit.
A version that would perhaps imbue a bit more ontological interpretation, and so you could contest if you want, would be:
The universe contains a fundamental information limit regarding how much information it allocates amongst a set of non-redundant parameters one can define a physical object as having.
The Heisenberg principle is therefore best expressed in terms of informational entropies, which describe the relative degree of privation of information from an agent versus a system: the Shannon entropy, when an agent ascribes a probability distribution $f_X$ to an unknown quantity $X$, is
$$H_X := -\int_{x \in \Omega_x} f_X(x) \ln f_X(x)\ d\mu$$
and the uncertainty principle between quantities $X$ and $Y$ is
$$H_X + H_Y \ge K(f_X, f_Y)$$
in the most general. In the case of the positional and momental parameters on a single Galilean moving particle, we have
$$H_x + H_p \ge 1 + \ln(\pi \hbar)$$
which, as one may note, is going to be units-dependent: it is a general feature of the entropy of any continuous random variable that is always measured relative to a set reference level, and not absolute. The units on the right hand quantity are nats (natural unit of information), for bits, use
$$H_x + H_p \ge \lg(e\pi \hbar)$$
where $\lg$ is the binary logarithm. A citation for the above formulas is:
https://arxiv.org/abs/1511.04857
Not only is this perhaps more accurate in natural language, the mathematical statement is literally more accurate in that there are possible combinations of $f_x$ and $f_p$ which notionally satisfy the "deviation" version of the HUP but do not satisfy the entropic version, and yet also, cannot be validly combined into the positional and momental representations a quantum vector. (For example, consider a pair of delta spikes in both $f_x$ and $f_p$ at suitable separation. This may satisfy deviation-HUP, but it doesn't satisfy entropic-HUP.)
A crude model for a system that exhibits uncertainty-like behavior is the following. Suppose you wanted to make a computer game that had a ball in it, and you wanted to only use, say, 64 bits of information to encode both where it is and how it is moving. You could, say, use a 32-bit number for each, giving resolution to a level of $2^{-32}$, but if you wanted more for one or the other, e.g. a 48-bit number for the position (perhaps the balls are microscopic) then you must lose out on the velocity, e.g. only 16 bits, where we imagine describing both of these in the usual way as binary numbers along a coordinate axis. Note, of course, that either number must be relative to some base scale.
And the uncertainty principle basically says our real-life Universe works somewhat like this - but given the other details of the mathematics involved, the encoding and handling of that information can't be anywhere near as cheap and rude as simply truncating coordinate values(*). For one thing, theorems like Bell, PBR, etc. which seem to point to a certain holism as being involved. For another, though, no one single scheme is implied by quantum theory.
What that last part suggests is that quantum theory, in this view, is a subjective theory, but not absolutely such. It describes reality from our viewpoint within it, not from outside it, but that also doesn't mean that it has no relevance to "objective" physics at all. The uncertainty principle is one place where it connects with objective physics, for there are actual, physical consequences, in that we can observe them, of the act of extracting information from a physical system, and those consequences are governed in part by the Heisenberg rules. The constant $\hbar$, which sets where it happens, is the information content limit of our Universe, in the same way the constant $c$, the speed of light, is the information transmission speed limit.
(*) This is easily seen by noting the maximal joint information between two such parameters is given by a Gaussian probability distribution in both, not a box distribution of width $2^{-n} L_0$ for some characteristic scale $L_0$!