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:
Sasha vivió una celebración particular, mientras sus compañeros se bañaban en cava poco antes de recibir la copa de manos de Ernesto Segura de Luna, presidente de la Federación Española.
Postion	Tokenization
1	Sasha
2	vivió
3	una
4	celebración
5	particular
6	,
7	mientras
8	sus
9	compañeros
10	se
11	bañaban
12	en
13	cava
14	poco
15	antes
16	de
17	recibir
18	la
19	copa
20	de
21	manos
22	de
23	Ernesto
24	Segura
25	de
26	Luna
27	,
28	presidente
29	de
30	la
31	Federación
32	Española
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Sasha	PROPN	2	nsubj
2	vivió	VERB	0	root
3	una	DET	4	det
4	celebración	NOUN	2	obj
5	particular	ADJ	4	amod
6	,	PUNCT	11	punct
7	mientras	SCONJ	11	mark
8	sus	DET	9	det
9	compañeros	NOUN	11	nsubj
10	se	PRON	11	expl:pv
11	bañaban	VERB	2	advcl
12	en	ADP	13	case
13	cava	NOUN	11	obl
14	poco	ADV	15	advmod
15	antes	ADV	11	advmod
16	de	ADP	17	mark
17	recibir	VERB	15	advcl
18	la	DET	19	det
19	copa	NOUN	17	obj
20	de	ADP	23	case
21	manos	NOUN	20	fixed
22	de	ADP	20	fixed
23	Ernesto	PROPN	17	obl
24	Segura	PROPN	23	flat
25	de	ADP	26	case
26	Luna	PROPN	23	flat
27	,	PUNCT	28	punct
28	presidente	NOUN	23	appos
29	de	ADP	31	case
30	la	DET	31	det
31	Federación	PROPN	28	nmod
32	Española	PROPN	31	flat
33	.	PUNCT	2	punct