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 guionistas, actores y director de Serendipity intentan demostrar hasta qué punto el azar y el destino juegan un papel relevante en las relaciones amorosas.
Postion	Tokenization
1	Los
2	guionistas
3	,
4	actores
5	y
6	director
7	de
8	Serendipity
9	intentan
10	demostrar
11	hasta
12	qué
13	punto
14	el
15	azar
16	y
17	el
18	destino
19	juegan
20	un
21	papel
22	relevante
23	en
24	las
25	relaciones
26	amorosas
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	guionistas	NOUN	9	nsubj
3	,	PUNCT	4	punct
4	actores	NOUN	2	appos
5	y	CCONJ	6	cc
6	director	NOUN	2	conj
7	de	ADP	8	case
8	Serendipity	PROPN	2	nmod
9	intentan	VERB	0	root
10	demostrar	VERB	9	xcomp
11	hasta	ADP	13	case
12	qué	PRON	13	nmod
13	punto	NOUN	19	obl
14	el	DET	15	det
15	azar	NOUN	19	nsubj
16	y	CCONJ	18	cc
17	el	DET	18	det
18	destino	NOUN	15	conj
19	juegan	VERB	10	ccomp
20	un	DET	21	det
21	papel	NOUN	19	obj
22	relevante	ADJ	21	amod
23	en	ADP	25	case
24	las	DET	25	det
25	relaciones	NOUN	19	obl
26	amorosas	ADJ	25	amod
27	.	PUNCT	9	punct