In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: The Green Man offers Italian food at a medium price range suitable for families. It is situated near All Bar One.
Example Output: name[Green Man], food[Italian], priceRange[moderate], area[riverside], familyFriendly[yes], near[All Bar One]

Example Input: The Strada restaurant French food restaurant serves food in the price range £20-25, is kids friendly, customer rated 3 out of 5, and situated near to the Rainbow Vegetarian Café
Example Output: name[Strada], food[French], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]

Example Input: Near The Portland Arms in the area of city centre is Cotto. It is a coffee shop that has highly expensive Italian food, and its customer rating is averaged.
Example Output:
name[Cotto], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[city centre], near[The Portland Arms]