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:
El caribeño ha conseguido todo y enfoca el final de su vida deportiva, y el ruso acude a Sydney en su plenitud con las marcas actuales a su favor.
Postion	Tokenization
1	El
2	caribeño
3	ha
4	conseguido
5	todo
6	y
7	enfoca
8	el
9	final
10	de
11	su
12	vida
13	deportiva
14	,
15	y
16	el
17	ruso
18	acude
19	a
20	Sydney
21	en
22	su
23	plenitud
24	con
25	las
26	marcas
27	actuales
28	a
29	su
30	favor
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	caribeño	NOUN	4	nsubj
3	ha	AUX	4	aux
4	conseguido	VERB	0	root
5	todo	PRON	4	obj
6	y	CCONJ	7	cc
7	enfoca	VERB	4	conj
8	el	DET	9	det
9	final	NOUN	7	obj
10	de	ADP	12	case
11	su	DET	12	det
12	vida	NOUN	9	nmod
13	deportiva	ADJ	12	amod
14	,	PUNCT	18	punct
15	y	CCONJ	18	cc
16	el	DET	17	det
17	ruso	NOUN	18	nsubj
18	acude	VERB	4	conj
19	a	ADP	20	case
20	Sydney	PROPN	18	obl
21	en	ADP	23	case
22	su	DET	23	det
23	plenitud	NOUN	18	obl
24	con	ADP	26	case
25	las	DET	26	det
26	marcas	NOUN	18	obl
27	actuales	ADJ	26	amod
28	a	ADP	30	case
29	su	DET	30	det
30	favor	NOUN	26	nmod
31	.	PUNCT	4	punct