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:
Los dos guiones españoles los tiene avanzados, pero lo único que se atrevió a decir de ellos es que "los protagonistas serán masculinos".
Postion	Tokenization
1	Los
2	dos
3	guiones
4	españoles
5	los
6	tiene
7	avanzados
8	,
9	pero
10	lo
11	único
12	que
13	se
14	atrevió
15	a
16	decir
17	de
18	ellos
19	es
20	que
21	"
22	los
23	protagonistas
24	serán
25	masculinos
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	dos	NUM	1	nummod
3	guiones	NOUN	6	iobj
4	españoles	ADJ	3	amod
5	los	PRON	6	obj
6	tiene	VERB	0	root
7	avanzados	ADJ	6	iobj
8	,	PUNCT	19	punct
9	pero	CCONJ	19	cc
10	lo	PRON	14	det
11	único	ADJ	14	amod
12	que	PRON	14	iobj
13	se	PRON	14	expl:pv
14	atrevió	VERB	19	csubj
15	a	ADP	16	mark
16	decir	VERB	14	xcomp
17	de	ADP	18	case
18	ellos	PRON	16	obj
19	es	AUX	6	conj
20	que	SCONJ	25	mark
21	"	PUNCT	25	punct
22	los	DET	23	det
23	protagonistas	NOUN	25	nsubj
24	serán	AUX	25	cop
25	masculinos	ADJ	19	ccomp
26	"	PUNCT	25	punct
27	.	PUNCT	6	punct