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:
"Lo que más me impactó de la novela para llevarla al cine es su capacidad de entrar en muchos mundos - - dijo ayer la realizadora - -.
Postion	Tokenization
1	"
2	Lo
3	que
4	más
5	me
6	impactó
7	de
8	la
9	novela
10	para
11	llevarla
12	llevar
13	la
14	al
15	cine
16	es
17	su
18	capacidad
19	de
20	entrar
21	en
22	muchos
23	mundos
24	-
25	-
26	dijo
27	ayer
28	la
29	realizadora
30	-
31	-
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	17	punct
2	Lo	PRON	6	det
3	que	PRON	6	nsubj
4	más	ADV	6	advmod
5	me	PRON	6	obj
6	impactó	VERB	17	csubj
7	de	ADP	9	case
8	la	DET	9	det
9	novela	NOUN	6	obl
10	para	ADP	11	mark
11	llevarla	_	None	_
12	llevar	VERB	6	advcl
13	la	PRON	11	obj
14	al	ADP	14	case
15	cine	NOUN	11	obj
16	es	AUX	17	cop
17	su	DET	17	det
18	capacidad	NOUN	25	ccomp
19	de	ADP	19	mark
20	entrar	VERB	17	acl
21	en	ADP	22	case
22	muchos	DET	22	det
23	mundos	NOUN	19	obl
24	-	PUNCT	25	punct
25	-	PUNCT	25	punct
26	dijo	VERB	0	root
27	ayer	ADV	25	advmod
28	la	DET	28	det
29	realizadora	NOUN	25	nsubj
30	-	PUNCT	25	punct
31	-	PUNCT	25	punct
32	.	PUNCT	25	punct