In this paper, we propose a method for au-tomatic clause boundary annotation in the Hindi Dependency Treebank. We show that the clausal information implicitly encoded in a dependency structure can be made explicit with no or less human interven-tion. We exercised the proposed approach on 16,000 sentences of Hindi Dependency Treebank. Our approach gives an accuracy of 94.44 % for clause boundary identifica-tion evaluated over 238 clauses. The resul-tant corpus has varied usages and can be utilized for developing a statistical clause boundary identifier. 1