In this paper, we introduce the German version of the multilingual Fips parsing system. We focus on the evaluation of its part-of-speech tagging component with the help of the TIGER treebank. We explain how Fips can be adapted to the tagset used by TIGER and report first results of this study: currently, 87% of words are tagged correctly. We also discuss some common errors and explore a possible extension of this study to parsing.