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 presidente andaluz, Manuel Chaves, sin embargo, no lo ve con buenos ojos y ayer recordó a Bono que "si se presenta como candidato a las autonómicas es porque adquiere el compromiso de agotar toda esta legislatura".
Postion	Tokenization
1	El
2	presidente
3	andaluz
4	,
5	Manuel
6	Chaves
7	,
8	sin
9	embargo
10	,
11	no
12	lo
13	ve
14	con
15	buenos
16	ojos
17	y
18	ayer
19	recordó
20	a
21	Bono
22	que
23	"
24	si
25	se
26	presenta
27	como
28	candidato
29	a
30	las
31	autonómicas
32	es
33	porque
34	adquiere
35	el
36	compromiso
37	de
38	agotar
39	toda
40	esta
41	legislatura
42	"
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	13	nsubj
3	andaluz	ADJ	2	amod
4	,	PUNCT	5	punct
5	Manuel	PROPN	2	appos
6	Chaves	PROPN	5	flat
7	,	PUNCT	5	punct
8	sin	ADP	13	advmod
9	embargo	NOUN	8	fixed
10	,	PUNCT	8	punct
11	no	ADV	13	advmod
12	lo	PRON	13	obj
13	ve	VERB	0	root
14	con	ADP	16	case
15	buenos	ADJ	16	amod
16	ojos	NOUN	13	obl
17	y	CCONJ	19	cc
18	ayer	ADV	19	advmod
19	recordó	VERB	13	conj
20	a	ADP	21	case
21	Bono	PROPN	19	iobj
22	que	SCONJ	32	mark
23	"	PUNCT	32	punct
24	si	SCONJ	26	mark
25	se	PRON	26	obj
26	presenta	VERB	32	advcl
27	como	SCONJ	28	mark
28	candidato	NOUN	26	obj
29	a	ADP	31	case
30	las	DET	31	det
31	autonómicas	ADJ	28	amod
32	es	AUX	19	ccomp
33	porque	SCONJ	34	mark
34	adquiere	VERB	32	ccomp
35	el	DET	36	det
36	compromiso	NOUN	34	obj
37	de	ADP	38	mark
38	agotar	VERB	36	acl
39	toda	DET	40	det
40	esta	DET	41	det
41	legislatura	NOUN	38	obj
42	"	PUNCT	32	punct
43	.	PUNCT	13	punct