Extract and list all the terms that can be classified into any of the categories in the “TUI code and Semantic type description text” and are related to the condition found in the “text to analyze”. Classify each extracted term into one of the categories in the “TUI code and Semantic type description text”. Explain why the entity was extracted and why it was classified as such. Format the output as JSON in the following structure: [ { "Entities": [ { "Entity": "Entity Name 1", "TUI_Code": "TUI Code 1", "Semantic_Type": "Semantic Type 1", "Explanation": "Explanation 1" }, { "Entity": "Entity Name 2", "TUI_Code": "TUI Code 2", "Semantic_Type": "Semantic Type 2", "Explanation": "Explanation 2" } ] } ] Ensure each object in the "Entities" array contains the keys: "Entity", "TUI_Code", "Semantic_Type", and "Explanation". TUI code and Semantic type description text: TUI_Code: Semantic_Type 1. T019: Congenital Abnormality 2. T020: Acquired Abnormality 3. T033: Finding 4. T034: Laboratory or Test Result 5. T041: Mental Process 6. T046: Pathologic Function 7. T047: Disease or Syndrome 8. T048: Mental or Behavioral Dysfunction 9. T049: Cell or Molecular Dysfunction 10. T050: Experimental Model of Disease 11. T059: Laboratory Procedure 12. T060: Diagnostic Procedure 13. T063: Molecular Biology Research Technique 14. T073: Manufactured Object 15. T170: Intellectual Product 16. T184: Sign or Symptom 17. T190: Anatomical Abnormality 18. T191: Neoplastic Process 19. T201: Clinical Attribute