Both samples need to be normal in order for the small sample parametric hypothesis tests to be valid. If, on the other hand, the samples are dependent, then it is the values (residuals) given after taking the difference between the variables for each observation that is of interest. If you have a "large" sample, then you can rely on asymptotic results and forthgo with parametric hypothesis testing. I hope this clarifies things a little bit.