As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
I think its only fair that nowadays every town should provide at least one halal cafe or restaurant and hopefully one day every British catering establishment will be halal.
Postion	Tokenization
1	I
2	think
3	its
4	it
5	s
6	only
7	fair
8	that
9	nowadays
10	every
11	town
12	should
13	provide
14	at
15	least
16	one
17	halal
18	cafe
19	or
20	restaurant
21	and
22	hopefully
23	one
24	day
25	every
26	British
27	catering
28	establishment
29	will
30	be
31	halal
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	think	VERB	0	root
3	its	_	None	_
4	it	PRON	6	nsubj
5	s	AUX	6	cop
6	only	ADV	6	advmod
7	fair	ADJ	2	ccomp
8	that	SCONJ	12	mark
9	nowadays	ADV	12	advmod
10	every	DET	10	det
11	town	NOUN	12	nsubj
12	should	AUX	12	aux
13	provide	VERB	6	ccomp
14	at	ADV	14	case
15	least	ADV	15	nmod
16	one	NUM	17	nummod
17	halal	ADJ	17	amod
18	cafe	NOUN	12	obj
19	or	CCONJ	19	cc
20	restaurant	NOUN	17	conj
21	and	CCONJ	30	cc
22	hopefully	ADV	30	advmod
23	one	NUM	23	nummod
24	day	NOUN	30	obl:tmod
25	every	DET	27	det
26	British	ADJ	27	amod
27	catering	NOUN	27	compound
28	establishment	NOUN	30	nsubj
29	will	AUX	30	aux
30	be	AUX	30	cop
31	halal	ADJ	2	conj
32	.	PUNCT	2	punct