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:
La nadadora parapléjica española Teresa Perales, que logró la plata en 50 metros mariposa reconoció que el ambiente "es fantástico, no me lo esperaba.
Postion	Tokenization
1	La
2	nadadora
3	parapléjica
4	española
5	Teresa
6	Perales
7	,
8	que
9	logró
10	la
11	plata
12	en
13	50
14	metros
15	mariposa
16	reconoció
17	que
18	el
19	ambiente
20	"
21	es
22	fantástico
23	,
24	no
25	me
26	lo
27	esperaba
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	nadadora	NOUN	16	nsubj
3	parapléjica	ADJ	2	amod
4	española	ADJ	2	amod
5	Teresa	PROPN	2	appos
6	Perales	PROPN	5	flat
7	,	PUNCT	9	punct
8	que	PRON	9	nsubj
9	logró	VERB	2	acl
10	la	DET	11	det
11	plata	NOUN	9	obj
12	en	ADP	14	case
13	50	NUM	14	nummod
14	metros	NOUN	9	obl
15	mariposa	ADJ	14	amod
16	reconoció	VERB	0	root
17	que	SCONJ	22	mark
18	el	DET	19	det
19	ambiente	NOUN	22	nsubj
20	"	PUNCT	22	punct
21	es	AUX	22	cop
22	fantástico	ADJ	16	ccomp
23	,	PUNCT	22	punct
24	no	ADV	27	advmod
25	me	PRON	27	iobj
26	lo	PRON	27	obj
27	esperaba	VERB	22	advcl
28	.	PUNCT	16	punct