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:
NOS GUSTA La CRÍTICA FEROZ, pero tal vez ignoremos cuál es la resistencia del material y si esto puede irse al infierno si se abusa de la sátira.
Postion	Tokenization
1	NOS
2	GUSTA
3	La
4	CRÍTICA
5	FEROZ
6	,
7	pero
8	tal
9	vez
10	ignoremos
11	cuál
12	es
13	la
14	resistencia
15	del
16	material
17	y
18	si
19	esto
20	puede
21	irse
22	ir
23	se
24	al
25	infierno
26	si
27	se
28	abusa
29	de
30	la
31	sátira
32	.
Position	Tokenization	UPOS	Head	Deprel
1	NOS	PRON	2	iobj
2	GUSTA	VERB	0	root
3	La	DET	4	det
4	CRÍTICA	NOUN	2	nsubj
5	FEROZ	ADJ	4	amod
6	,	PUNCT	10	punct
7	pero	CCONJ	10	cc
8	tal	NOUN	10	advmod
9	vez	NOUN	8	fixed
10	ignoremos	VERB	2	conj
11	cuál	PRON	14	nsubj
12	es	AUX	14	cop
13	la	DET	14	det
14	resistencia	NOUN	10	ccomp
15	del	ADP	16	case
16	material	NOUN	14	nmod
17	y	CCONJ	21	cc
18	si	SCONJ	21	mark
19	esto	PRON	21	nsubj
20	puede	AUX	21	aux
21	irse	_	None	_
22	ir	VERB	14	conj
23	se	PRON	21	expl:pv
24	al	ADP	24	case
25	infierno	NOUN	21	obl
26	si	SCONJ	27	mark
27	se	PRON	27	expl:impers
28	abusa	VERB	21	advcl
29	de	ADP	30	case
30	la	DET	30	det
31	sátira	NOUN	27	obj
32	.	PUNCT	2	punct