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:
La desorientación del PSC, las contradicciones con el PSOE y las iniciativas de corte nacionalista de Pasqual Maragall harán que éste pierda protagonismo, y contrastarán con la actitud coherente del PP.
Postion	Tokenization
1	La
2	desorientación
3	del
4	PSC
5	,
6	las
7	contradicciones
8	con
9	el
10	PSOE
11	y
12	las
13	iniciativas
14	de
15	corte
16	nacionalista
17	de
18	Pasqual
19	Maragall
20	harán
21	que
22	éste
23	pierda
24	protagonismo
25	,
26	y
27	contrastarán
28	con
29	la
30	actitud
31	coherente
32	del
33	PP
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	desorientación	NOUN	20	nsubj
3	del	ADP	4	case
4	PSC	PROPN	2	nmod
5	,	PUNCT	7	punct
6	las	DET	7	det
7	contradicciones	NOUN	2	appos
8	con	ADP	10	case
9	el	DET	10	det
10	PSOE	PROPN	7	nmod
11	y	CCONJ	13	cc
12	las	DET	13	det
13	iniciativas	NOUN	2	conj
14	de	ADP	15	case
15	corte	NOUN	13	nmod
16	nacionalista	ADJ	15	amod
17	de	ADP	18	case
18	Pasqual	PROPN	13	nmod
19	Maragall	PROPN	18	flat
20	harán	VERB	0	root
21	que	SCONJ	23	mark
22	éste	PRON	23	nsubj
23	pierda	VERB	20	ccomp
24	protagonismo	NOUN	23	obj
25	,	PUNCT	27	punct
26	y	CCONJ	27	cc
27	contrastarán	VERB	20	conj
28	con	ADP	30	case
29	la	DET	30	det
30	actitud	NOUN	27	obj
31	coherente	ADJ	30	amod
32	del	ADP	33	case
33	PP	PROPN	30	nmod
34	.	PUNCT	20	punct