Why my singular value decomposition with np.linalg.svd gives me matrices which can't be multiplied to each other?

Question

I have written this code:

A = np.array([[18, 2, -13,-14], 
              [-30, 14, 2,-5],
              [6, -32, -14, 2]])

# finding SVD
U, SIGMA, V = np.lin