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:
Quiere ver que la bondad prevalece ", aseguró la joven, que ha colaborado activamente en la campaña de Gore, al que ha aconsejado en ocasiones.
Postion	Tokenization
1	Quiere
2	ver
3	que
4	la
5	bondad
6	prevalece
7	"
8	,
9	aseguró
10	la
11	joven
12	,
13	que
14	ha
15	colaborado
16	activamente
17	en
18	la
19	campaña
20	de
21	Gore
22	,
23	al
24	que
25	ha
26	aconsejado
27	en
28	ocasiones
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Quiere	VERB	9	ccomp
2	ver	VERB	1	ccomp
3	que	SCONJ	6	mark
4	la	DET	5	det
5	bondad	NOUN	6	nsubj
6	prevalece	VERB	2	ccomp
7	"	PUNCT	1	punct
8	,	PUNCT	1	punct
9	aseguró	VERB	0	root
10	la	DET	11	det
11	joven	NOUN	9	nsubj
12	,	PUNCT	15	punct
13	que	PRON	15	nsubj
14	ha	AUX	15	aux
15	colaborado	VERB	11	acl
16	activamente	ADV	15	advmod
17	en	ADP	19	case
18	la	DET	19	det
19	campaña	NOUN	15	obl
20	de	ADP	21	case
21	Gore	PROPN	19	nmod
22	,	PUNCT	26	punct
23	al	ADP	24	case
24	que	PRON	26	obj
25	ha	AUX	26	aux
26	aconsejado	VERB	21	acl
27	en	ADP	28	case
28	ocasiones	NOUN	26	obl
29	.	PUNCT	9	punct