This paper presents the results of a set of preliminary experiments combining two knowledge-based partial dependency analyzers with two statistical parsers, applied to the Basque Dependency Treebank. The general idea will be to apply a stacked scheme where the output of the rule-based partial parsers will be given as input to MaltParser and MST, two state of the art statistical parsers. The results show a modest improvement over the baseline, although they also present interesting lines for further research.