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:
Por último, el saltador cubano afirmó que tras concluir su preparación en los Juegos Olímpicos de Sydney "pienso mantenerme en el deporte en activo".
Postion	Tokenization
1	Por
2	último
3	,
4	el
5	saltador
6	cubano
7	afirmó
8	que
9	tras
10	concluir
11	su
12	preparación
13	en
14	los
15	Juegos
16	Olímpicos
17	de
18	Sydney
19	"
20	pienso
21	mantenerme
22	mantener
23	me
24	en
25	el
26	deporte
27	en
28	activo
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	7	advmod
2	último	NOUN	1	fixed
3	,	PUNCT	1	punct
4	el	DET	5	det
5	saltador	NOUN	7	nsubj
6	cubano	ADJ	5	amod
7	afirmó	VERB	0	root
8	que	SCONJ	20	mark
9	tras	ADP	10	mark
10	concluir	VERB	20	advcl
11	su	DET	12	det
12	preparación	NOUN	10	obj
13	en	ADP	15	case
14	los	DET	15	det
15	Juegos	PROPN	10	obl
16	Olímpicos	PROPN	15	flat
17	de	ADP	18	case
18	Sydney	PROPN	15	nmod
19	"	PUNCT	20	punct
20	pienso	VERB	7	ccomp
21	mantenerme	_	None	_
22	mantener	VERB	20	xcomp
23	me	PRON	21	obj
24	en	ADP	25	case
25	el	DET	25	det
26	deporte	NOUN	21	obl
27	en	ADP	27	case
28	activo	ADJ	21	advmod
29	"	PUNCT	20	punct
30	.	PUNCT	7	punct