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:
"China está dispuesta a trabajar y colaborar con el Gobierno de Perú, bajo el liderazgo del presidente Alberto Fujimori", reiteró Zhang Qiyue para dejar clara la postura oficial.
Postion	Tokenization
1	"
2	China
3	está
4	dispuesta
5	a
6	trabajar
7	y
8	colaborar
9	con
10	el
11	Gobierno
12	de
13	Perú
14	,
15	bajo
16	el
17	liderazgo
18	del
19	presidente
20	Alberto
21	Fujimori
22	"
23	,
24	reiteró
25	Zhang
26	Qiyue
27	para
28	dejar
29	clara
30	la
31	postura
32	oficial
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	China	PROPN	4	nsubj
3	está	AUX	4	cop
4	dispuesta	ADJ	24	ccomp
5	a	ADP	6	mark
6	trabajar	VERB	4	advcl
7	y	CCONJ	8	cc
8	colaborar	VERB	6	conj
9	con	ADP	11	case
10	el	DET	11	det
11	Gobierno	PROPN	6	obl
12	de	ADP	13	case
13	Perú	PROPN	11	flat
14	,	PUNCT	17	punct
15	bajo	ADP	17	case
16	el	DET	17	det
17	liderazgo	NOUN	6	obl
18	del	ADP	19	case
19	presidente	NOUN	17	nmod
20	Alberto	PROPN	19	appos
21	Fujimori	PROPN	20	flat
22	"	PUNCT	4	punct
23	,	PUNCT	4	punct
24	reiteró	VERB	0	root
25	Zhang	PROPN	24	nsubj
26	Qiyue	PROPN	25	flat
27	para	ADP	28	mark
28	dejar	VERB	24	advcl
29	clara	ADJ	28	obj
30	la	DET	31	det
31	postura	NOUN	28	obj
32	oficial	ADJ	31	amod
33	.	PUNCT	24	punct