Statistical dependency parsing model is trained on the Polish Dependency Bank (PDB, Pol. Składnica zależnościowa) with the the publicly available parsing system -- MaltParser. MaltParser is a transition-based dependency parser that uses a deterministic parsing algorithm. The deterministic parsing algorithm builds a dependency structure of an input sentence based on transitions (shift-reduce actions) predicted by a classifier. The classifier learns to predict the next transition given training data and the parse history.