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:
Anais García, Enrique Floriano, Oribe Richard, Sebastián Rodriguez, Ana García, Deborah Font, Samuel Soler y Maria Teresa Perales han engrandecido el papel español en natación.
Postion	Tokenization
1	Anais
2	García
3	,
4	Enrique
5	Floriano
6	,
7	Oribe
8	Richard
9	,
10	Sebastián
11	Rodriguez
12	,
13	Ana
14	García
15	,
16	Deborah
17	Font
18	,
19	Samuel
20	Soler
21	y
22	Maria
23	Teresa
24	Perales
25	han
26	engrandecido
27	el
28	papel
29	español
30	en
31	natación
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Anais	PROPN	26	nsubj
2	García	PROPN	1	flat
3	,	PUNCT	4	punct
4	Enrique	PROPN	1	conj
5	Floriano	PROPN	4	flat
6	,	PUNCT	7	punct
7	Oribe	PROPN	1	conj
8	Richard	PROPN	7	flat
9	,	PUNCT	10	punct
10	Sebastián	PROPN	1	conj
11	Rodriguez	PROPN	10	flat
12	,	PUNCT	13	punct
13	Ana	PROPN	1	conj
14	García	PROPN	13	flat
15	,	PUNCT	16	punct
16	Deborah	PROPN	1	conj
17	Font	PROPN	16	flat
18	,	PUNCT	19	punct
19	Samuel	PROPN	1	conj
20	Soler	PROPN	19	flat
21	y	CCONJ	22	cc
22	Maria	PROPN	1	conj
23	Teresa	PROPN	22	flat
24	Perales	PROPN	22	flat
25	han	AUX	26	aux
26	engrandecido	VERB	0	root
27	el	DET	28	det
28	papel	NOUN	26	obj
29	español	ADJ	28	amod
30	en	ADP	31	case
31	natación	NOUN	28	nmod
32	.	PUNCT	26	punct