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:
Una serie de hechos violentos van desvelándose de manera sencilla, hasta componer un puzzle dramático con el que Atom Egoyan, atrapa al espectador a partir de sentimientos abstractos y emociones a contrapié.
Postion	Tokenization
1	Una
2	serie
3	de
4	hechos
5	violentos
6	van
7	desvelándose
8	desvelando
9	se
10	de
11	manera
12	sencilla
13	,
14	hasta
15	componer
16	un
17	puzzle
18	dramático
19	con
20	el
21	que
22	Atom
23	Egoyan
24	,
25	atrapa
26	al
27	espectador
28	a
29	partir
30	de
31	sentimientos
32	abstractos
33	y
34	emociones
35	a
36	contrapié
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	serie	NOUN	4	nmod
3	de	ADP	2	case
4	hechos	NOUN	7	nsubj
5	violentos	ADJ	4	amod
6	van	AUX	7	aux
7	desvelándose	_	None	_
8	desvelando	VERB	0	root
9	se	PRON	7	expl:pass
10	de	ADP	10	case
11	manera	NOUN	7	obl
12	sencilla	ADJ	10	amod
13	,	PUNCT	14	punct
14	hasta	ADP	14	mark
15	componer	VERB	7	advcl
16	un	DET	16	det
17	puzzle	NOUN	14	obj
18	dramático	ADJ	16	amod
19	con	ADP	20	case
20	el	DET	20	det
21	que	PRON	24	obl
22	Atom	PROPN	24	nsubj
23	Egoyan	PROPN	21	flat
24	,	PUNCT	24	punct
25	atrapa	VERB	16	acl
26	al	ADP	26	case
27	espectador	NOUN	24	obj
28	a	ADP	30	case
29	partir	NOUN	27	fixed
30	de	ADP	27	fixed
31	sentimientos	NOUN	24	obl
32	abstractos	ADJ	30	amod
33	y	CCONJ	33	cc
34	emociones	NOUN	30	conj
35	a	ADP	33	advmod
36	contrapié	NOUN	34	fixed
37	.	PUNCT	7	punct