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:
Para el realizador y guionista, el protagonista masculino, Stéphane, "es muy interesante porque encarna la tolerancia, la aceptación de los demás".
Postion	Tokenization
1	Para
2	el
3	realizador
4	y
5	guionista
6	,
7	el
8	protagonista
9	masculino
10	,
11	Stéphane
12	,
13	"
14	es
15	muy
16	interesante
17	porque
18	encarna
19	la
20	tolerancia
21	,
22	la
23	aceptación
24	de
25	los
26	demás
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	realizador	NOUN	16	obl
4	y	CCONJ	5	cc
5	guionista	NOUN	3	conj
6	,	PUNCT	3	punct
7	el	DET	8	det
8	protagonista	NOUN	16	nsubj
9	masculino	ADJ	8	amod
10	,	PUNCT	11	punct
11	Stéphane	PROPN	8	appos
12	,	PUNCT	11	punct
13	"	PUNCT	16	punct
14	es	AUX	16	cop
15	muy	ADV	16	advmod
16	interesante	ADJ	0	root
17	porque	SCONJ	18	mark
18	encarna	VERB	16	advcl
19	la	DET	20	det
20	tolerancia	NOUN	18	obj
21	,	PUNCT	20	punct
22	la	DET	23	det
23	aceptación	NOUN	20	appos
24	de	ADP	26	case
25	los	DET	26	det
26	demás	PRON	23	nmod
27	"	PUNCT	16	punct
28	.	PUNCT	16	punct