We examine some of the frequently disregarded subtleties of tokenization in Penn Treebank style, and present a new rule-based preprocessing toolkit that not only reproduces the Treebank tokenization with unmatched accuracy, but also maintains exact stand-off pointers to the original text and allows flexible configuration to diverse use cases (e.g. to genreor domain-specific idiosyncrasies).