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: For a child friendly coffee shop, check out Cocum, a moderately priced fast food joint with a customer rating of 3 out of 5.
Example Output: name[Cocum], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], familyFriendly[yes]

Example Input: The Rice Boat, located in the city centre neat Express by Holiday Inn, is a high priced fast food restaurant. It has a one of five customer rating and us not children friendly.
Example Output: name[The Rice Boat], food[Fast food], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

Example Input: Aromi is a nice coffee shop in the Riverside area, with a nice family atmosphere and warm clientele  and Japanese food service
Example Output:
name[Aromi], eatType[coffee shop], food[Japanese], customer rating[1 out of 5], area[riverside], familyFriendly[yes]