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:
Ana Botella, que ha sido recibida por los gritos de una docena de jóvenes de Alternativa Estel, ha asegurado en Lleida que no quiere dedicarse a la política activa y que apoya al Partido Popular como una militante más, "porque en las campañas todos debemos luchar por lo que creemos".
Postion	Tokenization
1	Ana
2	Botella
3	,
4	que
5	ha
6	sido
7	recibida
8	por
9	los
10	gritos
11	de
12	una
13	docena
14	de
15	jóvenes
16	de
17	Alternativa
18	Estel
19	,
20	ha
21	asegurado
22	en
23	Lleida
24	que
25	no
26	quiere
27	dedicarse
28	dedicar
29	se
30	a
31	la
32	política
33	activa
34	y
35	que
36	apoya
37	al
38	Partido
39	Popular
40	como
41	una
42	militante
43	más
44	,
45	"
46	porque
47	en
48	las
49	campañas
50	todos
51	debemos
52	luchar
53	por
54	lo
55	que
56	creemos
57	"
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Ana	PROPN	21	nsubj
2	Botella	PROPN	1	flat
3	,	PUNCT	7	punct
4	que	PRON	7	nsubj
5	ha	AUX	7	aux
6	sido	AUX	7	aux
7	recibida	VERB	1	acl
8	por	ADP	10	case
9	los	DET	10	det
10	gritos	NOUN	7	obj
11	de	ADP	13	case
12	una	DET	13	det
13	docena	NOUN	10	nmod
14	de	ADP	15	case
15	jóvenes	NOUN	13	nmod
16	de	ADP	17	case
17	Alternativa	PROPN	15	nmod
18	Estel	PROPN	17	flat
19	,	PUNCT	7	punct
20	ha	AUX	21	aux
21	asegurado	VERB	0	root
22	en	ADP	23	case
23	Lleida	PROPN	21	obl
24	que	SCONJ	26	mark
25	no	ADV	26	advmod
26	quiere	VERB	21	ccomp
27	dedicarse	_	None	_
28	dedicar	VERB	26	xcomp
29	se	PRON	27	expl:pv
30	a	ADP	31	case
31	la	DET	31	det
32	política	NOUN	27	obj
33	activa	ADJ	31	amod
34	y	CCONJ	35	cc
35	que	SCONJ	35	mark
36	apoya	VERB	26	conj
37	al	ADP	37	case
38	Partido	PROPN	35	obj
39	Popular	PROPN	37	flat
40	como	SCONJ	41	mark
41	una	DET	41	det
42	militante	NOUN	35	obl
43	más	ADV	41	advmod
44	,	PUNCT	51	punct
45	"	PUNCT	51	punct
46	porque	SCONJ	51	mark
47	en	ADP	48	case
48	las	DET	48	det
49	campañas	NOUN	51	obl
50	todos	PRON	51	nsubj
51	debemos	AUX	51	aux
52	luchar	VERB	35	advcl
53	por	ADP	55	mark
54	lo	PRON	55	det
55	que	PRON	55	obj
56	creemos	VERB	51	ccomp
57	"	PUNCT	51	punct
58	.	PUNCT	21	punct