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 Ministerio chino de Asuntos Exteriores defendió hoy el resultado de las elecciones presidenciales celebradas en Perú y ofreció su apoyo al nuevo gobierno del presidente Alberto Fujimori.
Postion	Tokenization
1	El
2	Ministerio
3	chino
4	de
5	Asuntos
6	Exteriores
7	defendió
8	hoy
9	el
10	resultado
11	de
12	las
13	elecciones
14	presidenciales
15	celebradas
16	en
17	Perú
18	y
19	ofreció
20	su
21	apoyo
22	al
23	nuevo
24	gobierno
25	del
26	presidente
27	Alberto
28	Fujimori
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ministerio	PROPN	7	nsubj
3	chino	ADJ	2	amod
4	de	ADP	5	case
5	Asuntos	PROPN	2	nmod
6	Exteriores	PROPN	5	flat
7	defendió	VERB	0	root
8	hoy	ADV	7	advmod
9	el	DET	10	det
10	resultado	NOUN	7	obj
11	de	ADP	13	case
12	las	DET	13	det
13	elecciones	NOUN	10	nmod
14	presidenciales	ADJ	13	amod
15	celebradas	ADJ	13	amod
16	en	ADP	17	case
17	Perú	PROPN	15	obl
18	y	CCONJ	19	cc
19	ofreció	VERB	7	conj
20	su	DET	21	det
21	apoyo	NOUN	19	obj
22	al	ADP	24	case
23	nuevo	ADJ	24	amod
24	gobierno	NOUN	21	nmod
25	del	ADP	26	case
26	presidente	NOUN	24	nmod
27	Alberto	PROPN	26	appos
28	Fujimori	PROPN	27	flat
29	.	PUNCT	7	punct