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: Browns Cambridge provides cheap Chinese food with an average customer rating.
Example Output: name[Browns Cambridge], food[Chinese], priceRange[cheap], customer rating[average]

Example Input: The Phoenix is by the riverside. It has fast food for a high price and an average customer rating.
Example Output: name[The Phoenix], food[Fast food], priceRange[high], customer rating[average], area[riverside]

Example Input: The Golden Curry is a family-friendly, fast food restaurant with an average rating. It is located in the centre of the city near Café Rouge.
Example Output:
name[The Golden Curry], food[Fast food], customer rating[average], area[city centre], familyFriendly[yes], near[Café Rouge]