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:
Se llama Britney's dance beat y la empresa británica THQ ha pagado una suma multimillonaria por hacerse con los derechos de la imagen de la artista para fabricarlo y distribuirlo.
Postion	Tokenization
1	Se
2	llama
3	Britney's
4	dance
5	beat
6	y
7	la
8	empresa
9	británica
10	THQ
11	ha
12	pagado
13	una
14	suma
15	multimillonaria
16	por
17	hacerse
18	hacer
19	se
20	con
21	los
22	derechos
23	de
24	la
25	imagen
26	de
27	la
28	artista
29	para
30	fabricarlo
31	fabricar
32	lo
33	y
34	distribuirlo
35	distribuir
36	lo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pv
2	llama	VERB	0	root
3	Britney's	PROPN	2	obj
4	dance	PROPN	3	flat
5	beat	PROPN	3	flat
6	y	CCONJ	12	cc
7	la	DET	8	det
8	empresa	NOUN	12	nsubj
9	británica	ADJ	8	amod
10	THQ	PROPN	8	appos
11	ha	AUX	12	aux
12	pagado	VERB	2	conj
13	una	DET	14	det
14	suma	NOUN	12	iobj
15	multimillonaria	ADJ	14	amod
16	por	ADP	17	mark
17	hacerse	_	None	_
18	hacer	VERB	12	xcomp
19	se	PRON	17	expl:pv
20	con	ADP	21	case
21	los	DET	21	det
22	derechos	NOUN	17	obj
23	de	ADP	24	case
24	la	DET	24	det
25	imagen	NOUN	21	nmod
26	de	ADP	27	case
27	la	DET	27	det
28	artista	NOUN	24	nmod
29	para	ADP	29	mark
30	fabricarlo	_	None	_
31	fabricar	VERB	12	advcl
32	lo	PRON	29	obj
33	y	CCONJ	32	cc
34	distribuirlo	_	None	_
35	distribuir	VERB	29	conj
36	lo	PRON	32	obj
37	.	PUNCT	2	punct