Recent trends in NLP (Natural Language Processing) are heading towards a stochastic processing of natural language. Stochastic methods, however, usually demand a lot of annotated training data. In most cases, the annotation of the data has to be done manually by a team of annotators and it is a highly time-consuming and expensive process. Thus we tried to develop an efficient and user-friendly editor that would aid human annotators to create the annotated data. We offer this editor for free. The developed editor is described in this article.