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:
"Comparto su opinión sobre la necesidad de abrir la política a la sociedad, buscando fórmulas que permitan, por ejemplo, la elección directa de algunos candidatos", dijo Triadú.
Postion	Tokenization
1	"
2	Comparto
3	su
4	opinión
5	sobre
6	la
7	necesidad
8	de
9	abrir
10	la
11	política
12	a
13	la
14	sociedad
15	,
16	buscando
17	fórmulas
18	que
19	permitan
20	,
21	por
22	ejemplo
23	,
24	la
25	elección
26	directa
27	de
28	algunos
29	candidatos
30	"
31	,
32	dijo
33	Triadú
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Comparto	VERB	32	ccomp
3	su	DET	4	det
4	opinión	NOUN	2	obj
5	sobre	ADP	7	case
6	la	DET	7	det
7	necesidad	NOUN	4	nmod
8	de	ADP	9	mark
9	abrir	VERB	7	acl
10	la	DET	11	det
11	política	NOUN	9	obj
12	a	ADP	14	case
13	la	DET	14	det
14	sociedad	NOUN	9	obj
15	,	PUNCT	9	punct
16	buscando	VERB	9	xcomp
17	fórmulas	NOUN	16	obj
18	que	PRON	19	nsubj
19	permitan	VERB	17	acl
20	,	PUNCT	21	punct
21	por	ADP	25	advmod
22	ejemplo	NOUN	21	fixed
23	,	PUNCT	21	punct
24	la	DET	25	det
25	elección	NOUN	19	obj
26	directa	ADJ	25	amod
27	de	ADP	29	case
28	algunos	DET	29	det
29	candidatos	NOUN	25	nmod
30	"	PUNCT	2	punct
31	,	PUNCT	2	punct
32	dijo	VERB	0	root
33	Triadú	PROPN	32	nsubj
34	.	PUNCT	32	punct