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: Near the Burger King, The Eagle is a coffee shop style Japanese, low price, this restaurant is a good place for kids.
Example Output: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes], near[Burger King]

Example Input: The Browns Cambridge serves Italian food and has excellent service.
Example Output: name[Browns Cambridge], food[Italian], priceRange[cheap], customer rating[5 out of 5]

Example Input: With a 1 out of 5 rating, Cotto is kid friendly, located near Ranch, and serves French food.
Example Output:
name[Cotto], food[French], customer rating[1 out of 5], familyFriendly[yes], near[Ranch]