Intuition behind why solution to optimization problem occurs at saddle point of Lagrangian

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I'm studying the method of Lagrange multipliers, and the Wikipedia page says

The solution corresponding to the original constrained optimization is always a saddle point of the Lagrangian function.

Why intuitively is this the case? I have been looking at these notes which also state this result and give an example, but don't explain why this is the case in general.

Thanks for the help!