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:
We've got a page dedicated to issues around hospitals ( http://www.bbc.co.uk/dna/actionnetwork/C55153 ) and a group called NHS SOS have already put up a campaign about ward closures in Cumbria.
Postion	Tokenization
1	We've
2	We
3	've
4	got
5	a
6	page
7	dedicated
8	to
9	issues
10	around
11	hospitals
12	(
13	http://www.bbc.co.uk/dna/actionnetwork/C55153
14	)
15	and
16	a
17	group
18	called
19	NHS
20	SOS
21	have
22	already
23	put
24	up
25	a
26	campaign
27	about
28	ward
29	closures
30	in
31	Cumbria
32	.
Position	Tokenization	UPOS	Head	Deprel
1	We've	_	None	_
2	We	PRON	3	nsubj
3	've	AUX	3	aux
4	got	VERB	0	root
5	a	DET	5	det
6	page	NOUN	3	obj
7	dedicated	VERB	5	acl
8	to	ADP	8	case
9	issues	NOUN	6	obl
10	around	ADP	10	case
11	hospitals	NOUN	8	nmod
12	(	PUNCT	12	punct
13	http://www.bbc.co.uk/dna/actionnetwork/C55153	X	5	appos
14	)	PUNCT	12	punct
15	and	CCONJ	22	cc
16	a	DET	16	det
17	group	NOUN	22	nsubj
18	called	VERB	16	acl
19	NHS	PROPN	19	compound
20	SOS	PROPN	17	xcomp
21	have	AUX	22	aux
22	already	ADV	22	advmod
23	put	VERB	3	conj
24	up	ADP	22	compound:prt
25	a	DET	25	det
26	campaign	NOUN	22	obj
27	about	ADP	28	case
28	ward	NOUN	28	compound
29	closures	NOUN	25	nmod
30	in	ADP	30	case
31	Cumbria	PROPN	28	nmod
32	.	PUNCT	3	punct