Consider the Neyman-Pearson Lemma for testing $H_0: \theta = \theta_0$ against $H_a: \theta = \theta_1$. If the likelihood ratio $\Lambda(x) = \frac{L(\theta_0|x)}{L(\theta_1|x)}$ is used to define the rejection region, why is this specific test considered 'most powerful'?