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:
Ahí está, por el PP, Javier Arenas, número uno por Sevilla en las generales, y más el PSOE, que lleva a Manuel Chaves de candidato a la presidencia de Andalucía; a José Antonio Griñán de número uno al Congreso por Córdoba e, indirectamente, a Joaquín Almunia como aspirante a la presidencia del Gobierno.
Postion	Tokenization
1	Ahí
2	está
3	,
4	por
5	el
6	PP
7	,
8	Javier
9	Arenas
10	,
11	número
12	uno
13	por
14	Sevilla
15	en
16	las
17	generales
18	,
19	y
20	más
21	el
22	PSOE
23	,
24	que
25	lleva
26	a
27	Manuel
28	Chaves
29	de
30	candidato
31	a
32	la
33	presidencia
34	de
35	Andalucía
36	;
37	a
38	José
39	Antonio
40	Griñán
41	de
42	número
43	uno
44	al
45	Congreso
46	por
47	Córdoba
48	e
49	,
50	indirectamente
51	,
52	a
53	Joaquín
54	Almunia
55	como
56	aspirante
57	a
58	la
59	presidencia
60	del
61	Gobierno
62	.
Position	Tokenization	UPOS	Head	Deprel
1	Ahí	ADV	2	advmod
2	está	VERB	0	root
3	,	PUNCT	6	punct
4	por	ADP	6	case
5	el	DET	6	det
6	PP	PROPN	8	nmod
7	,	PUNCT	6	punct
8	Javier	PROPN	2	nsubj
9	Arenas	PROPN	8	flat
10	,	PUNCT	11	punct
11	número	NOUN	8	appos
12	uno	PRON	11	appos
13	por	ADP	14	case
14	Sevilla	PROPN	11	nmod
15	en	ADP	17	case
16	las	DET	17	det
17	generales	ADJ	11	amod
18	,	PUNCT	22	punct
19	y	CCONJ	22	cc
20	más	ADV	22	advmod
21	el	DET	22	det
22	PSOE	PROPN	2	conj
23	,	PUNCT	25	punct
24	que	PRON	25	nsubj
25	lleva	VERB	22	acl
26	a	ADP	27	case
27	Manuel	PROPN	25	obj
28	Chaves	PROPN	27	flat
29	de	ADP	30	case
30	candidato	NOUN	25	obl
31	a	ADP	33	case
32	la	DET	33	det
33	presidencia	NOUN	25	obl
34	de	ADP	35	case
35	Andalucía	PROPN	33	nmod
36	;	PUNCT	38	punct
37	a	ADP	38	case
38	José	PROPN	25	obl
39	Antonio	PROPN	38	flat
40	Griñán	PROPN	38	flat
41	de	ADP	42	case
42	número	NOUN	38	nmod
43	uno	PRON	42	appos
44	al	ADP	45	case
45	Congreso	PROPN	42	nmod
46	por	ADP	47	case
47	Córdoba	PROPN	42	nmod
48	e	CCONJ	50	cc
49	,	PUNCT	50	punct
50	indirectamente	ADV	25	conj
51	,	PUNCT	50	punct
52	a	ADP	50	case
53	Joaquín	PROPN	50	nmod
54	Almunia	PROPN	53	flat
55	como	SCONJ	56	mark
56	aspirante	NOUN	50	nmod
57	a	ADP	59	case
58	la	DET	59	det
59	presidencia	NOUN	56	nmod
60	del	ADP	61	case
61	Gobierno	PROPN	59	nmod
62	.	PUNCT	2	punct