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:
Pese a que reconoce que personalmente no le gusta que se incentive este tipo de remuneraciones, indica que "en términos políticos, ha habido un momento en las Cortes en que parecía que Joaquín Almunia lo que quería era ser presidente de Telefónica y no del Gobierno".
Postion	Tokenization
1	Pese
2	a
3	que
4	reconoce
5	que
6	personalmente
7	no
8	le
9	gusta
10	que
11	se
12	incentive
13	este
14	tipo
15	de
16	remuneraciones
17	,
18	indica
19	que
20	"
21	en
22	términos
23	políticos
24	,
25	ha
26	habido
27	un
28	momento
29	en
30	las
31	Cortes
32	en
33	que
34	parecía
35	que
36	Joaquín
37	Almunia
38	lo
39	que
40	quería
41	era
42	ser
43	presidente
44	de
45	Telefónica
46	y
47	no
48	del
49	Gobierno
50	"
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	4	mark
2	a	ADP	1	fixed
3	que	SCONJ	1	fixed
4	reconoce	VERB	18	advcl
5	que	SCONJ	9	mark
6	personalmente	ADV	9	advmod
7	no	ADV	9	advmod
8	le	PRON	9	obj
9	gusta	VERB	4	ccomp
10	que	SCONJ	12	mark
11	se	PRON	12	expl:pass
12	incentive	VERB	9	csubj
13	este	DET	14	det
14	tipo	NOUN	12	nsubj
15	de	ADP	16	case
16	remuneraciones	NOUN	14	nmod
17	,	PUNCT	4	punct
18	indica	VERB	0	root
19	que	SCONJ	26	mark
20	"	PUNCT	22	punct
21	en	ADP	22	case
22	términos	NOUN	26	obl
23	políticos	ADJ	22	amod
24	,	PUNCT	22	punct
25	ha	AUX	18	aux
26	habido	AUX	18	ccomp
27	un	DET	28	det
28	momento	NOUN	26	obj
29	en	ADP	31	case
30	las	DET	31	det
31	Cortes	PROPN	28	nmod
32	en	ADP	33	case
33	que	PRON	34	obl
34	parecía	VERB	28	acl
35	que	SCONJ	41	mark
36	Joaquín	PROPN	41	nsubj
37	Almunia	PROPN	36	flat
38	lo	PRON	40	det
39	que	PRON	40	obj
40	quería	VERB	41	csubj
41	era	AUX	34	csubj
42	ser	AUX	43	cop
43	presidente	NOUN	41	ccomp
44	de	ADP	45	case
45	Telefónica	PROPN	43	nmod
46	y	CCONJ	47	cc
47	no	ADV	45	conj
48	del	ADP	47	case
49	Gobierno	PROPN	47	nmod
50	"	PUNCT	26	punct
51	.	PUNCT	18	punct