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:
Pero esta atleta, de origen jamaicano que incluso en Seúl'88 compitió con el equipo británico, necesita poner el colofón a su carrera con un oro en Sydney.
Postion	Tokenization
1	Pero
2	esta
3	atleta
4	,
5	de
6	origen
7	jamaicano
8	que
9	incluso
10	en
11	Seúl'88
12	compitió
13	con
14	el
15	equipo
16	británico
17	,
18	necesita
19	poner
20	el
21	colofón
22	a
23	su
24	carrera
25	con
26	un
27	oro
28	en
29	Sydney
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	18	advmod
2	esta	DET	3	det
3	atleta	NOUN	18	nsubj
4	,	PUNCT	6	punct
5	de	ADP	6	case
6	origen	NOUN	3	nmod
7	jamaicano	ADJ	6	amod
8	que	PRON	12	nsubj
9	incluso	ADV	12	advmod
10	en	ADP	11	case
11	Seúl'88	PROPN	12	obl
12	compitió	VERB	3	acl
13	con	ADP	15	case
14	el	DET	15	det
15	equipo	NOUN	12	obj
16	británico	ADJ	15	amod
17	,	PUNCT	3	punct
18	necesita	VERB	0	root
19	poner	VERB	18	xcomp
20	el	DET	21	det
21	colofón	NOUN	19	obj
22	a	ADP	24	case
23	su	DET	24	det
24	carrera	NOUN	19	obj
25	con	ADP	27	case
26	un	DET	27	det
27	oro	NOUN	19	obl
28	en	ADP	29	case
29	Sydney	PROPN	19	obl
30	.	PUNCT	18	punct