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:
El carácter obligatorio del CARE y las sanciones que comporta su incumplimiento son algunos de los puntos más contestados por los sindicatos.
Postion	Tokenization
1	El
2	carácter
3	obligatorio
4	del
5	CARE
6	y
7	las
8	sanciones
9	que
10	comporta
11	su
12	incumplimiento
13	son
14	algunos
15	de
16	los
17	puntos
18	más
19	contestados
20	por
21	los
22	sindicatos
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	carácter	NOUN	14	nsubj
3	obligatorio	ADJ	2	amod
4	del	ADP	5	case
5	CARE	PROPN	2	nmod
6	y	CCONJ	8	cc
7	las	DET	8	det
8	sanciones	NOUN	2	conj
9	que	PRON	10	obj
10	comporta	VERB	8	acl
11	su	DET	12	det
12	incumplimiento	NOUN	10	nsubj
13	son	AUX	14	cop
14	algunos	PRON	0	root
15	de	ADP	17	case
16	los	DET	17	det
17	puntos	NOUN	14	nmod
18	más	ADV	19	advmod
19	contestados	ADJ	17	amod
20	por	ADP	22	case
21	los	DET	22	det
22	sindicatos	NOUN	19	obj
23	.	PUNCT	14	punct