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:
Entonces decidió cambiar de perspectiva: desprestigió a la heroína devolviéndola a su hogar y la convirtió en una mujer común, salvo en su soberana belleza.
Postion	Tokenization
1	Entonces
2	decidió
3	cambiar
4	de
5	perspectiva
6	:
7	desprestigió
8	a
9	la
10	heroína
11	devolviéndola
12	devolviendo
13	la
14	a
15	su
16	hogar
17	y
18	la
19	convirtió
20	en
21	una
22	mujer
23	común
24	,
25	salvo
26	en
27	su
28	soberana
29	belleza
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Entonces	ADV	2	advmod
2	decidió	VERB	0	root
3	cambiar	VERB	2	xcomp
4	de	ADP	5	case
5	perspectiva	NOUN	3	obj
6	:	PUNCT	7	punct
7	desprestigió	VERB	3	advcl
8	a	ADP	10	case
9	la	DET	10	det
10	heroína	NOUN	7	obj
11	devolviéndola	_	None	_
12	devolviendo	VERB	7	advcl
13	la	PRON	11	obj
14	a	ADP	15	case
15	su	DET	15	det
16	hogar	NOUN	11	obl
17	y	CCONJ	18	cc
18	la	PRON	18	obj
19	convirtió	VERB	7	conj
20	en	ADP	21	case
21	una	DET	21	det
22	mujer	NOUN	18	iobj
23	común	ADJ	21	amod
24	,	PUNCT	28	punct
25	salvo	ADP	28	case
26	en	ADP	28	case
27	su	DET	28	det
28	soberana	ADJ	28	amod
29	belleza	NOUN	22	nmod
30	.	PUNCT	2	punct