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 los actores, el acierto de los guionistas, el mismo Sluizer e Yvette Biro, les está salvando de las dificultades.
Postion	Tokenization
1	Para
2	los
3	actores
4	,
5	el
6	acierto
7	de
8	los
9	guionistas
10	,
11	el
12	mismo
13	Sluizer
14	e
15	Yvette
16	Biro
17	,
18	les
19	está
20	salvando
21	de
22	las
23	dificultades
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	los	DET	3	det
3	actores	NOUN	20	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	acierto	NOUN	20	nsubj
7	de	ADP	9	case
8	los	DET	9	det
9	guionistas	NOUN	6	nmod
10	,	PUNCT	13	punct
11	el	DET	13	det
12	mismo	DET	11	det
13	Sluizer	PROPN	9	appos
14	e	CCONJ	15	cc
15	Yvette	PROPN	13	conj
16	Biro	PROPN	15	flat
17	,	PUNCT	13	punct
18	les	PRON	20	obj
19	está	AUX	20	aux
20	salvando	VERB	0	root
21	de	ADP	23	case
22	las	DET	23	det
23	dificultades	NOUN	20	iobj
24	.	PUNCT	20	punct