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:
Incluso en actores tan firmes como Monty Clift, la leyenda, la nebulosa, su atracción por los precipicios ha concluido superponiéndose o, al menos, equilibrándose con su buen hacer.
Postion	Tokenization
1	Incluso
2	en
3	actores
4	tan
5	firmes
6	como
7	Monty
8	Clift
9	,
10	la
11	leyenda
12	,
13	la
14	nebulosa
15	,
16	su
17	atracción
18	por
19	los
20	precipicios
21	ha
22	concluido
23	superponiéndose
24	superponiendo
25	se
26	o
27	,
28	al
29	menos
30	,
31	equilibrándose
32	equilibrando
33	se
34	con
35	su
36	buen
37	hacer
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Incluso	ADV	22	advmod
2	en	ADP	3	case
3	actores	NOUN	1	obl
4	tan	ADV	5	advmod
5	firmes	ADJ	3	amod
6	como	SCONJ	7	mark
7	Monty	PROPN	5	obl
8	Clift	PROPN	7	flat
9	,	PUNCT	1	punct
10	la	DET	11	det
11	leyenda	NOUN	22	nsubj
12	,	PUNCT	11	punct
13	la	DET	14	det
14	nebulosa	NOUN	11	appos
15	,	PUNCT	11	punct
16	su	DET	17	det
17	atracción	NOUN	11	appos
18	por	ADP	20	case
19	los	DET	20	det
20	precipicios	NOUN	17	nmod
21	ha	AUX	22	aux
22	concluido	VERB	0	root
23	superponiéndose	_	None	_
24	superponiendo	VERB	22	advcl
25	se	PRON	23	expl:pv
26	o	CCONJ	30	cc
27	,	PUNCT	27	punct
28	al	ADP	30	advmod
29	menos	ADV	27	fixed
30	,	PUNCT	27	punct
31	equilibrándose	_	None	_
32	equilibrando	VERB	23	conj
33	se	PRON	30	expl:pass
34	con	ADP	35	case
35	su	DET	35	det
36	buen	ADJ	35	amod
37	hacer	NOUN	30	obl
38	.	PUNCT	22	punct