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:
Los que no comulgan con el personaje, pero agradecieron el intento de farsa costumbrista de Torrente, el brazo tonto de la ley, puede que se sientan decepcionados.
Postion	Tokenization
1	Los
2	que
3	no
4	comulgan
5	con
6	el
7	personaje
8	,
9	pero
10	agradecieron
11	el
12	intento
13	de
14	farsa
15	costumbrista
16	de
17	Torrente
18	,
19	el
20	brazo
21	tonto
22	de
23	la
24	ley
25	,
26	puede
27	que
28	se
29	sientan
30	decepcionados
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	4	det
2	que	PRON	4	nsubj
3	no	ADV	4	advmod
4	comulgan	VERB	26	csubj
5	con	ADP	7	case
6	el	DET	7	det
7	personaje	NOUN	4	obj
8	,	PUNCT	10	punct
9	pero	CCONJ	10	cc
10	agradecieron	VERB	4	conj
11	el	DET	12	det
12	intento	NOUN	10	obj
13	de	ADP	14	case
14	farsa	NOUN	12	nmod
15	costumbrista	ADJ	14	amod
16	de	ADP	17	case
17	Torrente	PROPN	12	nmod
18	,	PUNCT	17	punct
19	el	DET	20	det
20	brazo	PROPN	17	flat
21	tonto	PROPN	20	flat
22	de	ADP	24	case
23	la	DET	24	det
24	ley	PROPN	20	flat
25	,	PUNCT	4	punct
26	puede	VERB	0	root
27	que	SCONJ	29	mark
28	se	PRON	29	expl:pv
29	sientan	VERB	26	csubj
30	decepcionados	ADJ	29	obj
31	.	PUNCT	26	punct