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:
A tan compleja tarea se entregan con un guión bien pautado, una interpretación ajustada de John Cusack y Kate Beckinsale y una dirección en exceso fría de Peter Chelson.
Postion	Tokenization
1	A
2	tan
3	compleja
4	tarea
5	se
6	entregan
7	con
8	un
9	guión
10	bien
11	pautado
12	,
13	una
14	interpretación
15	ajustada
16	de
17	John
18	Cusack
19	y
20	Kate
21	Beckinsale
22	y
23	una
24	dirección
25	en
26	exceso
27	fría
28	de
29	Peter
30	Chelson
31	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	tan	ADV	3	advmod
3	compleja	ADJ	4	amod
4	tarea	NOUN	6	obl
5	se	PRON	6	expl:pass
6	entregan	VERB	0	root
7	con	ADP	9	case
8	un	DET	9	det
9	guión	NOUN	6	obl
10	bien	ADV	11	advmod
11	pautado	ADJ	9	amod
12	,	PUNCT	6	punct
13	una	DET	14	det
14	interpretación	NOUN	6	nsubj
15	ajustada	ADJ	14	amod
16	de	ADP	17	case
17	John	PROPN	14	nmod
18	Cusack	PROPN	17	flat
19	y	CCONJ	20	cc
20	Kate	PROPN	17	conj
21	Beckinsale	PROPN	20	flat
22	y	CCONJ	24	cc
23	una	DET	24	det
24	dirección	NOUN	14	conj
25	en	ADP	26	case
26	exceso	NOUN	27	nmod
27	fría	ADJ	24	amod
28	de	ADP	29	case
29	Peter	PROPN	24	nmod
30	Chelson	PROPN	29	flat
31	.	PUNCT	6	punct