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:
Zhang agregó que los comicios son una "cuestión interna del Perú", por lo que rechazó cualquier presión o intervención internacional para alterar los resultados de las urnas.
Postion	Tokenization
1	Zhang
2	agregó
3	que
4	los
5	comicios
6	son
7	una
8	"
9	cuestión
10	interna
11	del
12	Perú
13	"
14	,
15	por
16	lo
17	que
18	rechazó
19	cualquier
20	presión
21	o
22	intervención
23	internacional
24	para
25	alterar
26	los
27	resultados
28	de
29	las
30	urnas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Zhang	PROPN	2	nsubj
2	agregó	VERB	0	root
3	que	SCONJ	9	mark
4	los	DET	5	det
5	comicios	NOUN	9	nsubj
6	son	AUX	9	cop
7	una	DET	9	det
8	"	PUNCT	9	punct
9	cuestión	NOUN	2	ccomp
10	interna	ADJ	9	amod
11	del	ADP	12	case
12	Perú	PROPN	9	nmod
13	"	PUNCT	9	punct
14	,	PUNCT	18	punct
15	por	ADP	17	case
16	lo	PRON	17	det
17	que	PRON	18	obl
18	rechazó	VERB	2	advcl
19	cualquier	DET	20	det
20	presión	NOUN	18	obj
21	o	CCONJ	22	cc
22	intervención	NOUN	20	conj
23	internacional	ADJ	20	amod
24	para	ADP	25	mark
25	alterar	VERB	20	acl
26	los	DET	27	det
27	resultados	NOUN	25	obj
28	de	ADP	30	case
29	las	DET	30	det
30	urnas	NOUN	27	nmod
31	.	PUNCT	2	punct