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:
"El Gobierno chino respeta la decisión del pueblo peruano expresada en la segunda ronda de las elecciones el pasado domingo", declaró esta tarde Zhang Qiyue, portavoz de la Cancillería.
Postion	Tokenization
1	"
2	El
3	Gobierno
4	chino
5	respeta
6	la
7	decisión
8	del
9	pueblo
10	peruano
11	expresada
12	en
13	la
14	segunda
15	ronda
16	de
17	las
18	elecciones
19	el
20	pasado
21	domingo
22	"
23	,
24	declaró
25	esta
26	tarde
27	Zhang
28	Qiyue
29	,
30	portavoz
31	de
32	la
33	Cancillería
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	El	DET	3	det
3	Gobierno	PROPN	5	nsubj
4	chino	ADJ	3	amod
5	respeta	VERB	24	ccomp
6	la	DET	7	det
7	decisión	NOUN	5	obj
8	del	ADP	9	case
9	pueblo	NOUN	7	nmod
10	peruano	ADJ	9	amod
11	expresada	ADJ	7	amod
12	en	ADP	15	case
13	la	DET	15	det
14	segunda	ADJ	15	amod
15	ronda	NOUN	11	obl
16	de	ADP	18	case
17	las	DET	18	det
18	elecciones	NOUN	15	nmod
19	el	DET	20	det
20	pasado	NOUN	11	obl
21	domingo	NOUN	20	compound
22	"	PUNCT	5	punct
23	,	PUNCT	5	punct
24	declaró	VERB	0	root
25	esta	DET	26	det
26	tarde	NOUN	24	obl
27	Zhang	PROPN	24	nsubj
28	Qiyue	PROPN	27	flat
29	,	PUNCT	30	punct
30	portavoz	NOUN	27	appos
31	de	ADP	33	case
32	la	DET	33	det
33	Cancillería	PROPN	30	nmod
34	.	PUNCT	24	punct