Your team is building a RAG pipeline for a legal firm. Source files are scanned contracts that combine paragraphs of prose, signature blocks, and embedded tables of payment schedules. Downstream, an agent must reason over both the narrative clauses and the tabular figures, and the retrieved chunks must preserve the reading order and table structure so the model does not confuse rows and columns. You are configuring an Azure AI Content Understanding analyzer to produce the grounded representation that will be chunked and indexed. Which analyzer output configuration best supports this requirement?