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: Green Man is a pub that serves Indian food in the city centre area near Café Rouge.
Example Output: name[Green Man], eatType[pub], food[Indian], area[city centre], near[Café Rouge]

Example Input: The Waterman is an averagely rated,  English pub located in Riverside.
Example Output: name[The Waterman], eatType[pub], food[English], customer rating[average], area[riverside]

Example Input: Strada is  located near Rainbow Vegetarian Café. It serves Japanese food, is family friendly, is expensive and has a high customer rating.
Example Output:
name[Strada], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]