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:
"Sin duda mis intenciones son las de ganar la medalla de oro y creo que realmente tengo posibilidades de lograrlo", apostilló el plusmarquista mundial de salto alto.
Postion	Tokenization
1	"
2	Sin
3	duda
4	mis
5	intenciones
6	son
7	las
8	de
9	ganar
10	la
11	medalla
12	de
13	oro
14	y
15	creo
16	que
17	realmente
18	tengo
19	posibilidades
20	de
21	lograrlo
22	lograr
23	lo
24	"
25	,
26	apostilló
27	el
28	plusmarquista
29	mundial
30	de
31	salto
32	alto
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Sin	ADP	6	advmod
3	duda	NOUN	2	fixed
4	mis	DET	5	det
5	intenciones	NOUN	6	nsubj
6	son	AUX	25	ccomp
7	las	DET	6	det
8	de	ADP	7	mark
9	ganar	VERB	7	ccomp
10	la	DET	11	det
11	medalla	NOUN	9	obj
12	de	ADP	13	case
13	oro	NOUN	11	nmod
14	y	CCONJ	15	cc
15	creo	VERB	6	conj
16	que	SCONJ	18	mark
17	realmente	ADV	18	advmod
18	tengo	VERB	15	ccomp
19	posibilidades	NOUN	18	obj
20	de	ADP	21	mark
21	lograrlo	_	None	_
22	lograr	VERB	19	acl
23	lo	PRON	21	obj
24	"	PUNCT	6	punct
25	,	PUNCT	6	punct
26	apostilló	VERB	0	root
27	el	DET	27	det
28	plusmarquista	NOUN	25	nsubj
29	mundial	ADJ	27	amod
30	de	ADP	30	case
31	salto	NOUN	27	nmod
32	alto	ADJ	30	amod
33	.	PUNCT	25	punct