The paper deals with the preliminary findings from the morphologically annotated corpus of Lithuanian language (1 million running words). It was compiled and processed at the Center of Computational Linguistics, Vytautas Magnus University. Each annotation for an inflected word form of the corpus contains a lemma and a set of morphological features. The paper presents the strategy for automatic and manual annotation. Automatic annotation was carried out with the help of analyser-lemmatiser. Disambiguation of the homoforms was performed manually. Tag sets and the most prominent features of Lithuanian morphology are discussed in detail. The annotated corpus allowed us to measure the usage of parts of speech and their morphological features in contemporary Lithuanian language. The annotated corpus is of great importance for future development of parsing tools, treebanks and other NLP tools and resources for Lithuanian language.