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:
El sindicato de intérpretes y los representantes de las majors de Hollywood prosiguen las conversaciones para alcanzar un acuerdo que permita firmar el nuevo convenio de los actores.
Postion	Tokenization
1	El
2	sindicato
3	de
4	intérpretes
5	y
6	los
7	representantes
8	de
9	las
10	majors
11	de
12	Hollywood
13	prosiguen
14	las
15	conversaciones
16	para
17	alcanzar
18	un
19	acuerdo
20	que
21	permita
22	firmar
23	el
24	nuevo
25	convenio
26	de
27	los
28	actores
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	sindicato	NOUN	13	nsubj
3	de	ADP	4	case
4	intérpretes	NOUN	2	nmod
5	y	CCONJ	7	cc
6	los	DET	7	det
7	representantes	NOUN	2	conj
8	de	ADP	10	case
9	las	DET	10	det
10	majors	NOUN	7	nmod
11	de	ADP	12	case
12	Hollywood	PROPN	10	nmod
13	prosiguen	VERB	0	root
14	las	DET	15	det
15	conversaciones	NOUN	13	obj
16	para	ADP	17	mark
17	alcanzar	VERB	15	acl
18	un	DET	19	det
19	acuerdo	NOUN	17	obj
20	que	PRON	21	nsubj
21	permita	VERB	19	acl
22	firmar	VERB	21	xcomp
23	el	DET	25	det
24	nuevo	ADJ	25	amod
25	convenio	NOUN	22	obj
26	de	ADP	28	case
27	los	DET	28	det
28	actores	NOUN	25	nmod
29	.	PUNCT	13	punct