The induced positional model can model both of these situations, and can fit the true parses more closely as well (as evidenced by the fact that the likelihood of the data under the supervised positional model is higher than the likelihood under the supervised bigram model).
however, it is more sensitive to the initial parameter weights and learns to recreate the errors produced by the categorical parser.