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 Cricketers, located near The Portland Arms, is  a coffee shop that serves Italian food.  This adults only coffee shop has an average customer rating that is low.
Example Output: name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[low], familyFriendly[no], near[The Portland Arms]

Example Input: Located on the riverside near All Bar One, Green Man is a French venue that costs more than £30 and is not child friendly.
Example Output: name[Green Man], food[French], priceRange[more than £30], area[riverside], familyFriendly[no], near[All Bar One]

Example Input: A Japanese food restaurant in the city centre area is called The Phoenix, they serve Japanese food with a lower customer rating. The prices are more than £30.
Example Output:
name[The Phoenix], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre]