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:
"Para interpretar mi papel me documenté, leí muchos libros sobre la época y el estilo de vida de los combatientes de las arenas - - afirma el actor - -.
Postion	Tokenization
1	"
2	Para
3	interpretar
4	mi
5	papel
6	me
7	documenté
8	,
9	leí
10	muchos
11	libros
12	sobre
13	la
14	época
15	y
16	el
17	estilo
18	de
19	vida
20	de
21	los
22	combatientes
23	de
24	las
25	arenas
26	-
27	-
28	afirma
29	el
30	actor
31	-
32	-
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	Para	ADP	3	mark
3	interpretar	VERB	7	advcl
4	mi	DET	5	det
5	papel	NOUN	3	obj
6	me	PRON	7	iobj
7	documenté	VERB	28	ccomp
8	,	PUNCT	7	punct
9	leí	VERB	7	advcl
10	muchos	DET	11	det
11	libros	NOUN	9	obj
12	sobre	ADP	14	case
13	la	DET	14	det
14	época	NOUN	11	nmod
15	y	CCONJ	17	cc
16	el	DET	17	det
17	estilo	NOUN	14	conj
18	de	ADP	19	case
19	vida	NOUN	17	nmod
20	de	ADP	22	case
21	los	DET	22	det
22	combatientes	NOUN	19	nmod
23	de	ADP	25	case
24	las	DET	25	det
25	arenas	NOUN	22	nmod
26	-	PUNCT	28	punct
27	-	PUNCT	28	punct
28	afirma	VERB	0	root
29	el	DET	30	det
30	actor	NOUN	28	nsubj
31	-	PUNCT	28	punct
32	-	PUNCT	28	punct
33	.	PUNCT	28	punct