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 número de minas antipersonas que posee Vietnam, país que sigue fabricándolas aunque ha prohibido su exportación, se desconoce, concluye la organización.
Postion	Tokenization
1	El
2	número
3	de
4	minas
5	antipersonas
6	que
7	posee
8	Vietnam
9	,
10	país
11	que
12	sigue
13	fabricándolas
14	fabricando
15	las
16	aunque
17	ha
18	prohibido
19	su
20	exportación
21	,
22	se
23	desconoce
24	,
25	concluye
26	la
27	organización
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	22	nsubj
3	de	ADP	4	case
4	minas	NOUN	2	nmod
5	antipersonas	ADJ	4	amod
6	que	PRON	7	obj
7	posee	VERB	4	acl
8	Vietnam	PROPN	7	nsubj
9	,	PUNCT	10	punct
10	país	NOUN	8	appos
11	que	PRON	12	nsubj
12	sigue	VERB	10	acl
13	fabricándolas	_	None	_
14	fabricando	VERB	12	xcomp
15	las	PRON	13	obj
16	aunque	SCONJ	17	mark
17	ha	AUX	17	aux
18	prohibido	VERB	13	advcl
19	su	DET	19	det
20	exportación	NOUN	17	obj
21	,	PUNCT	10	punct
22	se	PRON	22	expl:pass
23	desconoce	VERB	24	advcl
24	,	PUNCT	22	punct
25	concluye	VERB	0	root
26	la	DET	26	det
27	organización	NOUN	24	nsubj
28	.	PUNCT	24	punct