$U = V^\top X$ is a linear transformation of a Gaussian vector, hence Gaussian. Its mean is $V^\top \mathbb{E}[X] = 0$ and its covariance is $V^\top \Sigma V = \Lambda$ as computed above. A multivariate Gaussian with diagonal covariance has independent components, since the joint density factors over coordinates.