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 Bibimbap House, near Clare Hall in the city centre, is a moderately priced English food establishment.
Example Output: name[Bibimbap House], food[English], priceRange[moderate], area[city centre], near[Clare Hall]

Example Input: The Blue Spice is a coffee shop located riverside near Avalon.  High price range.  Not child friendly.  Customer rating 3 out 5.
Example Output:
name[Blue Spice], eatType[coffee shop], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Avalon]