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:
También el autor hace un cameo, "definitivo" para el director, ya que encarna a un hombre al que van a fusilar.
Postion	Tokenization
1	También
2	el
3	autor
4	hace
5	un
6	cameo
7	,
8	"
9	definitivo
10	"
11	para
12	el
13	director
14	,
15	ya
16	que
17	encarna
18	a
19	un
20	hombre
21	al
22	que
23	van
24	a
25	fusilar
26	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	4	advmod
2	el	DET	3	det
3	autor	NOUN	4	nsubj
4	hace	VERB	0	root
5	un	DET	6	det
6	cameo	NOUN	4	obj
7	,	PUNCT	9	punct
8	"	PUNCT	9	punct
9	definitivo	ADJ	6	amod
10	"	PUNCT	9	punct
11	para	ADP	13	case
12	el	DET	13	det
13	director	NOUN	9	nmod
14	,	PUNCT	17	punct
15	ya	ADV	17	mark
16	que	SCONJ	15	fixed
17	encarna	VERB	9	advcl
18	a	ADP	20	case
19	un	DET	20	det
20	hombre	NOUN	17	obj
21	al	ADP	22	case
22	que	PRON	25	obj
23	van	AUX	25	aux
24	a	ADP	25	mark
25	fusilar	VERB	20	acl
26	.	PUNCT	4	punct