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:
Para el comentarista de Antena 3 TV es un drama lo que para mí sería un suspiro de alivio, si de verdad lo creyera: que los EEUU no quieren dirigir el mundo.
Postion	Tokenization
1	Para
2	el
3	comentarista
4	de
5	Antena
6	3
7	TV
8	es
9	un
10	drama
11	lo
12	que
13	para
14	mí
15	sería
16	un
17	suspiro
18	de
19	alivio
20	,
21	si
22	de
23	verdad
24	lo
25	creyera
26	:
27	que
28	los
29	EEUU
30	no
31	quieren
32	dirigir
33	el
34	mundo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	comentarista	NOUN	8	obl
4	de	ADP	5	case
5	Antena	PROPN	3	nmod
6	3	NUM	5	nummod
7	TV	PROPN	5	flat
8	es	AUX	0	root
9	un	DET	10	det
10	drama	NOUN	8	nsubj
11	lo	PRON	17	det
12	que	PRON	17	nsubj
13	para	ADP	14	case
14	mí	PRON	17	obl
15	sería	AUX	17	cop
16	un	DET	17	det
17	suspiro	NOUN	8	ccomp
18	de	ADP	19	case
19	alivio	NOUN	17	nmod
20	,	PUNCT	25	punct
21	si	SCONJ	25	mark
22	de	ADP	25	advmod
23	verdad	NOUN	22	fixed
24	lo	PRON	25	obj
25	creyera	VERB	17	advcl
26	:	PUNCT	31	punct
27	que	SCONJ	31	mark
28	los	DET	29	det
29	EEUU	PROPN	31	nsubj
30	no	ADV	31	advmod
31	quieren	VERB	17	advcl
32	dirigir	VERB	31	xcomp
33	el	DET	34	det
34	mundo	NOUN	32	obj
35	.	PUNCT	8	punct