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 presidente estadounidense anunció un aumento de la cooperación con Vietnam para detectar y desactivar minas y explosivos usados en la guerra, que cada año matan o hieren a unas 2.000 personas en este país.
Postion	Tokenization
1	El
2	presidente
3	estadounidense
4	anunció
5	un
6	aumento
7	de
8	la
9	cooperación
10	con
11	Vietnam
12	para
13	detectar
14	y
15	desactivar
16	minas
17	y
18	explosivos
19	usados
20	en
21	la
22	guerra
23	,
24	que
25	cada
26	año
27	matan
28	o
29	hieren
30	a
31	unas
32	2.000
33	personas
34	en
35	este
36	país
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	4	nsubj
3	estadounidense	ADJ	2	amod
4	anunció	VERB	0	root
5	un	DET	6	det
6	aumento	NOUN	4	obj
7	de	ADP	9	case
8	la	DET	9	det
9	cooperación	NOUN	6	nmod
10	con	ADP	11	case
11	Vietnam	PROPN	9	nmod
12	para	ADP	13	mark
13	detectar	VERB	9	acl
14	y	CCONJ	15	cc
15	desactivar	VERB	13	conj
16	minas	NOUN	13	obj
17	y	CCONJ	18	cc
18	explosivos	NOUN	16	conj
19	usados	ADJ	16	amod
20	en	ADP	22	case
21	la	DET	22	det
22	guerra	NOUN	19	obl
23	,	PUNCT	27	punct
24	que	PRON	27	nsubj
25	cada	DET	26	det
26	año	NOUN	27	obl
27	matan	VERB	16	acl
28	o	CCONJ	29	cc
29	hieren	VERB	27	conj
30	a	ADP	33	case
31	unas	PRON	32	nmod
32	2.000	NUM	33	nummod
33	personas	NOUN	27	obj
34	en	ADP	36	case
35	este	DET	36	det
36	país	NOUN	27	obl
37	.	PUNCT	4	punct