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:
Sampras regresó hoy a la pista central de Wimbledon, prácticamente su hogar en los últimos años, en busca de su séptimo triunfo en el All England Tennis Club.
Postion	Tokenization
1	Sampras
2	regresó
3	hoy
4	a
5	la
6	pista
7	central
8	de
9	Wimbledon
10	,
11	prácticamente
12	su
13	hogar
14	en
15	los
16	últimos
17	años
18	,
19	en
20	busca
21	de
22	su
23	séptimo
24	triunfo
25	en
26	el
27	All
28	England
29	Tennis
30	Club
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Sampras	PROPN	2	nsubj
2	regresó	VERB	0	root
3	hoy	ADV	2	advmod
4	a	ADP	6	case
5	la	DET	6	det
6	pista	NOUN	2	obl
7	central	ADJ	6	amod
8	de	ADP	9	case
9	Wimbledon	PROPN	6	nmod
10	,	PUNCT	13	punct
11	prácticamente	ADV	13	advmod
12	su	DET	13	det
13	hogar	NOUN	6	appos
14	en	ADP	17	case
15	los	DET	17	det
16	últimos	ADJ	17	amod
17	años	NOUN	13	nmod
18	,	PUNCT	13	punct
19	en	ADP	20	case
20	busca	NOUN	2	obl
21	de	ADP	24	case
22	su	DET	24	det
23	séptimo	ADJ	24	amod
24	triunfo	NOUN	20	nmod
25	en	ADP	27	case
26	el	DET	27	det
27	All	PROPN	24	nmod
28	England	PROPN	27	flat
29	Tennis	PROPN	27	flat
30	Club	PROPN	27	flat
31	.	PUNCT	2	punct