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:
"Esto es muy grave porque significa poner en entredicho todo el esquema o la arquitectura jurídica, social y política que fue la base para la derrota del terrorismo", dijo la presidenta de la Comisión de Defensa del Congreso, Martha Chávez.
Postion	Tokenization
1	"
2	Esto
3	es
4	muy
5	grave
6	porque
7	significa
8	poner
9	en
10	entredicho
11	todo
12	el
13	esquema
14	o
15	la
16	arquitectura
17	jurídica
18	,
19	social
20	y
21	política
22	que
23	fue
24	la
25	base
26	para
27	la
28	derrota
29	del
30	terrorismo
31	"
32	,
33	dijo
34	la
35	presidenta
36	de
37	la
38	Comisión
39	de
40	Defensa
41	del
42	Congreso
43	,
44	Martha
45	Chávez
46	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Esto	PRON	5	nsubj
3	es	AUX	5	cop
4	muy	ADV	5	advmod
5	grave	ADJ	33	ccomp
6	porque	SCONJ	7	mark
7	significa	VERB	5	advcl
8	poner	VERB	7	xcomp
9	en	ADP	10	case
10	entredicho	NOUN	8	compound
11	todo	DET	12	det
12	el	DET	13	det
13	esquema	NOUN	8	obj
14	o	CCONJ	16	cc
15	la	DET	16	det
16	arquitectura	NOUN	13	conj
17	jurídica	ADJ	16	amod
18	,	PUNCT	19	punct
19	social	ADJ	17	conj
20	y	CCONJ	21	cc
21	política	ADJ	17	conj
22	que	PRON	25	nsubj
23	fue	AUX	25	cop
24	la	DET	25	det
25	base	NOUN	16	acl
26	para	ADP	28	case
27	la	DET	28	det
28	derrota	NOUN	25	nmod
29	del	ADP	30	case
30	terrorismo	NOUN	28	nmod
31	"	PUNCT	5	punct
32	,	PUNCT	5	punct
33	dijo	VERB	0	root
34	la	DET	35	det
35	presidenta	NOUN	33	nsubj
36	de	ADP	38	case
37	la	DET	38	det
38	Comisión	PROPN	35	nmod
39	de	ADP	40	case
40	Defensa	PROPN	38	flat
41	del	ADP	42	case
42	Congreso	PROPN	38	flat
43	,	PUNCT	44	punct
44	Martha	PROPN	35	appos
45	Chávez	PROPN	44	flat
46	.	PUNCT	33	punct