In data-driven approaches to natural language processing, a common problem is the lack of data for many languages. Within the project Stochastic Dependency Grammars for Natural Language Parsing at Växjö University, we (Joakim Nivre, Johan Hall and Jens Nilsson) are developing a deterministic data-driven dependency parser, which is language independent. In this project we intend to enlarge the data resources for our parser. For the moment, we have only tested our parser on small Swedish treebank converted to dependency structure, and on English using Penn Treebank converted to dependency trees. Since we do not have more Swedish dependency treebanks at hand, we want to broaden our view towards treebanks for other languages, especially the bigger ones, to investigate the influence of data size. Primarily, we are focusing on the Danish Dependency Treebank (DDT) and the Prague Dependency Treebank (PDT). These treebanks are not in a format that we can use for our parser and therefore we have to convert them to MALT-XML, a format which our parser can handle.