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:
And this has already drawn protests from the Tamil National Alliance (TNA) which was backed by the LTTE in the April general elections held in Sri Lanka.
Postion	Tokenization
1	And
2	this
3	has
4	already
5	drawn
6	protests
7	from
8	the
9	Tamil
10	National
11	Alliance
12	(
13	TNA
14	)
15	which
16	was
17	backed
18	by
19	the
20	LTTE
21	in
22	the
23	April
24	general
25	elections
26	held
27	in
28	Sri
29	Lanka
30	.
Position	Tokenization	UPOS	Head	Deprel
1	And	CCONJ	5	cc
2	this	PRON	5	nsubj
3	has	AUX	5	aux
4	already	ADV	5	advmod
5	drawn	VERB	0	root
6	protests	NOUN	5	obj
7	from	ADP	11	case
8	the	DET	11	det
9	Tamil	PROPN	11	compound
10	National	PROPN	11	compound
11	Alliance	PROPN	5	obl
12	(	PUNCT	13	punct
13	TNA	PROPN	11	appos
14	)	PUNCT	13	punct
15	which	PRON	17	nsubj:pass
16	was	AUX	17	aux:pass
17	backed	VERB	11	acl:relcl
18	by	ADP	20	case
19	the	DET	20	det
20	LTTE	PROPN	17	obl
21	in	ADP	25	case
22	the	DET	25	det
23	April	PROPN	25	compound
24	general	ADJ	25	amod
25	elections	NOUN	17	obl
26	held	VERB	25	acl
27	in	ADP	29	case
28	Sri	PROPN	29	compound
29	Lanka	PROPN	26	obl
30	.	PUNCT	5	punct