This paper presents the conversion of Syn-TagRus dependency structures into Penn Treebank style phrase structures, whose resulting data will be used to train a statistical constituency parser for Russian and create a large-scale constituency-parsed corpus. The implemented conversion includes various innovative features in order to create phrase structure trees that are closest to Penn Treebank style while optimally preserving information of the original dependency structure annotations. We believe the newly converted phrase structure treebank will be not only an adequate training dataset for our ongoing project but also a valuable resource for traditional and computational linguistic research.