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:
En un comunicado, la organización humanitaria explicó que Estados Unidos destina 1,7 millones de dólares en ayudas a desactivar ese tipo de bombas en Vietnam.
Postion	Tokenization
1	En
2	un
3	comunicado
4	,
5	la
6	organización
7	humanitaria
8	explicó
9	que
10	Estados
11	Unidos
12	destina
13	1,7
14	millones
15	de
16	dólares
17	en
18	ayudas
19	a
20	desactivar
21	ese
22	tipo
23	de
24	bombas
25	en
26	Vietnam
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	un	DET	3	det
3	comunicado	NOUN	8	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	organización	NOUN	8	nsubj
7	humanitaria	ADJ	6	amod
8	explicó	VERB	0	root
9	que	SCONJ	12	mark
10	Estados	PROPN	12	nsubj
11	Unidos	PROPN	10	flat
12	destina	VERB	8	ccomp
13	1,7	NUM	14	nummod
14	millones	NOUN	12	obj
15	de	ADP	16	case
16	dólares	NOUN	14	nmod
17	en	ADP	18	case
18	ayudas	NOUN	12	obl
19	a	ADP	20	mark
20	desactivar	VERB	18	acl
21	ese	DET	22	det
22	tipo	NOUN	20	obj
23	de	ADP	24	case
24	bombas	NOUN	22	nmod
25	en	ADP	26	case
26	Vietnam	PROPN	20	obl
27	.	PUNCT	8	punct