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 primer secretario del PSC del Vallès Oriental, Jordi Terrades i Santacreu, anunció ayer que no se presentará a la reelección en el congreso que la federación comarcal celebrará el próximo 23 de septiembre en Granollers.
Postion	Tokenization
1	El
2	primer
3	secretario
4	del
5	PSC
6	del
7	Vallès
8	Oriental
9	,
10	Jordi
11	Terrades
12	i
13	Santacreu
14	,
15	anunció
16	ayer
17	que
18	no
19	se
20	presentará
21	a
22	la
23	reelección
24	en
25	el
26	congreso
27	que
28	la
29	federación
30	comarcal
31	celebrará
32	el
33	próximo
34	23
35	de
36	septiembre
37	en
38	Granollers
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	secretario	NOUN	15	nsubj
4	del	ADP	5	case
5	PSC	PROPN	3	nmod
6	del	ADP	7	case
7	Vallès	PROPN	5	nmod
8	Oriental	PROPN	7	flat
9	,	PUNCT	10	punct
10	Jordi	PROPN	3	appos
11	Terrades	PROPN	10	flat
12	i	CCONJ	13	cc
13	Santacreu	PROPN	10	conj
14	,	PUNCT	10	punct
15	anunció	VERB	0	root
16	ayer	ADV	15	advmod
17	que	SCONJ	20	mark
18	no	ADV	20	advmod
19	se	PRON	20	obj
20	presentará	VERB	15	ccomp
21	a	ADP	23	case
22	la	DET	23	det
23	reelección	NOUN	20	obl
24	en	ADP	26	case
25	el	DET	26	det
26	congreso	NOUN	23	nmod
27	que	PRON	31	obj
28	la	DET	29	det
29	federación	NOUN	31	nsubj
30	comarcal	ADJ	29	amod
31	celebrará	VERB	23	acl
32	el	DET	34	det
33	próximo	ADJ	34	amod
34	23	NUM	31	obl
35	de	ADP	36	case
36	septiembre	NOUN	34	compound
37	en	ADP	38	case
38	Granollers	PROPN	31	obl
39	.	PUNCT	15	punct