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: A family friendly place located on the Riverside near All Bar One called Green Man has cheap prices.
Example Output: name[Green Man], food[Japanese], priceRange[cheap], area[riverside], familyFriendly[yes], near[All Bar One]

Example Input: Offering a family-friendly environment, The Twenty Two serves Italian food in the city centre.
Example Output: name[The Twenty Two], food[Italian], area[city centre], familyFriendly[yes]

Example Input: The Cricketers coffee shop, serving Indian food, has an average customer rating and is not family friendly. It is located near The Portland Arms.
Example Output:
name[The Cricketers], eatType[coffee shop], food[Indian], customer rating[average], familyFriendly[no], near[The Portland Arms]