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:
Aplicar de forma selectiva y discriminatoria todo el rigor de la ordenanza municipal al mensaje impreso y desparramado de la clase obrera es encerrarlo en una cámara de gas.
Postion	Tokenization
1	Aplicar
2	de
3	forma
4	selectiva
5	y
6	discriminatoria
7	todo
8	el
9	rigor
10	de
11	la
12	ordenanza
13	municipal
14	al
15	mensaje
16	impreso
17	y
18	desparramado
19	de
20	la
21	clase
22	obrera
23	es
24	encerrarlo
25	encerrar
26	lo
27	en
28	una
29	cámara
30	de
31	gas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Aplicar	VERB	23	csubj
2	de	ADP	3	case
3	forma	NOUN	1	obl
4	selectiva	ADJ	3	amod
5	y	CCONJ	6	cc
6	discriminatoria	ADJ	4	conj
7	todo	DET	8	det
8	el	DET	9	det
9	rigor	NOUN	1	obj
10	de	ADP	12	case
11	la	DET	12	det
12	ordenanza	NOUN	9	nmod
13	municipal	ADJ	12	amod
14	al	ADP	15	case
15	mensaje	NOUN	1	obj
16	impreso	ADJ	15	amod
17	y	CCONJ	18	cc
18	desparramado	ADJ	16	conj
19	de	ADP	21	case
20	la	DET	21	det
21	clase	NOUN	15	nmod
22	obrera	ADJ	21	amod
23	es	AUX	0	root
24	encerrarlo	_	None	_
25	encerrar	VERB	23	ccomp
26	lo	PRON	24	obj
27	en	ADP	28	case
28	una	DET	28	det
29	cámara	NOUN	24	obl
30	de	ADP	30	case
31	gas	NOUN	28	nmod
32	.	PUNCT	23	punct