This paper presents an ensemble system for dependency parsing: three parsers are separately trained and combined by means of a majority vote. The three parsers are (1) the MATE parser [http://code.google.com/p/mate-tools/], (2) the DeSR parser [http://sites.google.com/site/desrparser/], and (3) the MALT parser [http://maltparser.org/]. The MATE, that was never used before on Italian language, drastically outperforms the other parsers in the SPLeT shared task. Nonetheless, a simple voting combination further improves its performances