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:
No le va a dar lugar a superarlo -, bramaba cerca de la fuente de colores que no tienen en El Rubio, el pueblo de al lado.
Postion	Tokenization
1	No
2	le
3	va
4	a
5	dar
6	lugar
7	a
8	superarlo
9	superar
10	lo
11	-
12	,
13	bramaba
14	cerca
15	de
16	la
17	fuente
18	de
19	colores
20	que
21	no
22	tienen
23	en
24	El
25	Rubio
26	,
27	el
28	pueblo
29	de
30	al
31	lado
32	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	5	advmod
2	le	PRON	5	iobj
3	va	AUX	5	aux
4	a	ADP	5	mark
5	dar	VERB	12	xcomp
6	lugar	NOUN	5	compound
7	a	ADP	8	mark
8	superarlo	_	None	_
9	superar	VERB	5	xcomp
10	lo	PRON	8	obj
11	-	PUNCT	5	punct
12	,	PUNCT	5	punct
13	bramaba	VERB	0	root
14	cerca	ADV	16	case
15	de	ADP	13	fixed
16	la	DET	16	det
17	fuente	NOUN	12	obl
18	de	ADP	18	case
19	colores	NOUN	16	nmod
20	que	PRON	21	obj
21	no	ADV	21	advmod
22	tienen	VERB	16	acl
23	en	ADP	24	case
24	El	DET	24	det
25	Rubio	PROPN	21	obl
26	,	PUNCT	27	punct
27	el	DET	27	det
28	pueblo	NOUN	23	appos
29	de	ADP	29	case
30	al	ADP	27	advmod
31	lado	NOUN	29	fixed
32	.	PUNCT	12	punct