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 Phoenix may have an average customer rating, but it is a great high end Italian restaurant located in the city centre.
Example Output: name[The Phoenix], food[Italian], priceRange[high], customer rating[average], area[city centre]

Example Input: Browns Cambridge offers expensive food in a casual, low end atmosphere.
Example Output: name[Browns Cambridge], food[English], priceRange[high], customer rating[1 out of 5]

Example Input: Browns Cambridge is not recommended for families.  It's a low rated coffee shop serving fast food.  It's located in the riverside area, close to Crowne Plaza Hotel.
Example Output:
name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]