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:
Así por ejemplo, podría considerarse un tipo de arma para incapacitar temporalmente al enemigo, destruirle por completo o doblegarle mediante el ataque a sus recursos naturales.
Postion	Tokenization
1	Así
2	por
3	ejemplo
4	,
5	podría
6	considerarse
7	considerar
8	se
9	un
10	tipo
11	de
12	arma
13	para
14	incapacitar
15	temporalmente
16	al
17	enemigo
18	,
19	destruirle
20	destruir
21	le
22	por
23	completo
24	o
25	doblegarle
26	doblegar
27	le
28	mediante
29	el
30	ataque
31	a
32	sus
33	recursos
34	naturales
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Así	ADV	6	advmod
2	por	ADP	6	advmod
3	ejemplo	NOUN	2	fixed
4	,	PUNCT	2	punct
5	podría	AUX	6	aux
6	considerarse	_	None	_
7	considerar	VERB	0	root
8	se	PRON	6	expl:pass
9	un	DET	9	det
10	tipo	NOUN	6	nsubj
11	de	ADP	11	case
12	arma	NOUN	9	nmod
13	para	ADP	13	mark
14	incapacitar	VERB	9	acl
15	temporalmente	ADV	13	advmod
16	al	ADP	16	case
17	enemigo	NOUN	13	obj
18	,	PUNCT	18	punct
19	destruirle	_	None	_
20	destruir	VERB	13	advcl
21	le	PRON	18	obj
22	por	ADP	18	advmod
23	completo	NOUN	20	fixed
24	o	CCONJ	23	cc
25	doblegarle	_	None	_
26	doblegar	VERB	13	conj
27	le	PRON	23	obj
28	mediante	ADP	27	case
29	el	DET	27	det
30	ataque	NOUN	23	obl
31	a	ADP	30	case
32	sus	DET	30	det
33	recursos	NOUN	27	nmod
34	naturales	ADJ	30	amod
35	.	PUNCT	6	punct