We compare two annotation styles, Prague dependencies and Universal\nStanford Dependencies, in their adequacy for parsing.\nWe specifically focus on comparing the adposition attachment style, used in these two\nformalisms, applied in multi-source cross-lingual delexicalized dependency\nparser transfer performed by parse tree combination.\nWe show that in our setting, converting the adposition annotation to Stanford style in the\nPrague style training treebanks leads to promising results.\nWe find that best results can be obtained by parsing the target sentences\nwith parsers trained on treebanks using both of the adposition annotation\nstyles in parallel,\nand combining all the resulting parse trees together\nafter having converted them to the Stanford adposition style (+0.39% UAS over Prague\nstyle baseline).\nThe score improvements are considerably more significant when using a smaller set of diverse source\ntreebanks (up to +2.24% UAS over the baseline).