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:
Paral.lel, el programa que dirige y presenta el periodista Jaume Barberà, abordará esta noche en su debate las propuestas de más poder político para Catalunya, efectuadas por el presidente de la Generalitat, Jordi Pujol.
Postion	Tokenization
1	Paral.lel
2	,
3	el
4	programa
5	que
6	dirige
7	y
8	presenta
9	el
10	periodista
11	Jaume
12	Barberà
13	,
14	abordará
15	esta
16	noche
17	en
18	su
19	debate
20	las
21	propuestas
22	de
23	más
24	poder
25	político
26	para
27	Catalunya
28	,
29	efectuadas
30	por
31	el
32	presidente
33	de
34	la
35	Generalitat
36	,
37	Jordi
38	Pujol
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Paral.lel	PROPN	14	nsubj
2	,	PUNCT	4	punct
3	el	DET	4	det
4	programa	NOUN	1	appos
5	que	PRON	6	obj
6	dirige	VERB	4	acl
7	y	CCONJ	8	cc
8	presenta	VERB	6	conj
9	el	DET	10	det
10	periodista	NOUN	8	nsubj
11	Jaume	PROPN	10	appos
12	Barberà	PROPN	11	flat
13	,	PUNCT	4	punct
14	abordará	VERB	0	root
15	esta	DET	16	det
16	noche	NOUN	14	obl
17	en	ADP	19	case
18	su	DET	19	det
19	debate	NOUN	14	obl
20	las	DET	21	det
21	propuestas	NOUN	14	obj
22	de	ADP	24	case
23	más	ADV	24	advmod
24	poder	NOUN	21	nmod
25	político	ADJ	24	amod
26	para	ADP	27	case
27	Catalunya	PROPN	21	nmod
28	,	PUNCT	29	punct
29	efectuadas	ADJ	21	amod
30	por	ADP	32	case
31	el	DET	32	det
32	presidente	NOUN	29	obj
33	de	ADP	35	case
34	la	DET	35	det
35	Generalitat	PROPN	32	nmod
36	,	PUNCT	37	punct
37	Jordi	PROPN	32	appos
38	Pujol	PROPN	37	flat
39	.	PUNCT	14	punct