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 Wrestlers coffee shop is located near Raja Indian Cuisine in the city centre area. It serves Japanese food in the moderate price range and is child friendly
Example Output: name[The Wrestlers], eatType[coffee shop], food[Japanese], priceRange[moderate], area[city centre], familyFriendly[yes], near[Raja Indian Cuisine]

Example Input: In the city centre there is a highly rated coffee shop serving Italian food priced between £20-£25 called The Golden Palace.
Example Output: name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], area[city centre]

Example Input: The Waterman is an Italian restaurant that is kid-friendly near the city center and is moderately priced with a customer rating of 1 out of 5.
Example Output:
name[The Waterman], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes]