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:
Tres jóvenes negros lentos se subieron a garitas de madera y palmas, desde donde contemplaban las evoluciones de los bañistas, en este caso del único bañista que avanzaba a bofetadas contra el odio de las aguas.
Postion	Tokenization
1	Tres
2	jóvenes
3	negros
4	lentos
5	se
6	subieron
7	a
8	garitas
9	de
10	madera
11	y
12	palmas
13	,
14	desde
15	donde
16	contemplaban
17	las
18	evoluciones
19	de
20	los
21	bañistas
22	,
23	en
24	este
25	caso
26	del
27	único
28	bañista
29	que
30	avanzaba
31	a
32	bofetadas
33	contra
34	el
35	odio
36	de
37	las
38	aguas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Tres	NUM	2	nummod
2	jóvenes	NOUN	6	nsubj
3	negros	ADJ	2	amod
4	lentos	ADJ	2	amod
5	se	PRON	6	expl:pv
6	subieron	VERB	0	root
7	a	ADP	8	case
8	garitas	NOUN	6	obl
9	de	ADP	10	case
10	madera	NOUN	8	nmod
11	y	CCONJ	12	cc
12	palmas	NOUN	10	conj
13	,	PUNCT	16	punct
14	desde	ADP	15	case
15	donde	PRON	16	obl
16	contemplaban	VERB	8	acl
17	las	DET	18	det
18	evoluciones	NOUN	16	obj
19	de	ADP	21	case
20	los	DET	21	det
21	bañistas	NOUN	18	nmod
22	,	PUNCT	25	punct
23	en	ADP	25	case
24	este	DET	25	det
25	caso	NOUN	18	nmod
26	del	ADP	28	case
27	único	ADJ	28	amod
28	bañista	NOUN	25	nmod
29	que	PRON	30	nsubj
30	avanzaba	VERB	28	acl
31	a	ADP	30	advmod
32	bofetadas	NOUN	31	fixed
33	contra	ADP	35	case
34	el	DET	35	det
35	odio	NOUN	30	obl
36	de	ADP	38	case
37	las	DET	38	det
38	aguas	NOUN	35	nmod
39	.	PUNCT	6	punct