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 gala de entrega de los premios se celebrará el próximo viernes en Londres y está confirmada la asistencia de Almodóvar, Bardem, Penélope Cruz y Carmelo Gómez.
Postion	Tokenization
1	La
2	gala
3	de
4	entrega
5	de
6	los
7	premios
8	se
9	celebrará
10	el
11	próximo
12	viernes
13	en
14	Londres
15	y
16	está
17	confirmada
18	la
19	asistencia
20	de
21	Almodóvar
22	,
23	Bardem
24	,
25	Penélope
26	Cruz
27	y
28	Carmelo
29	Gómez
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	gala	NOUN	9	nsubj
3	de	ADP	4	case
4	entrega	NOUN	2	nmod
5	de	ADP	7	case
6	los	DET	7	det
7	premios	NOUN	2	nmod
8	se	PRON	9	expl:pass
9	celebrará	VERB	0	root
10	el	DET	12	det
11	próximo	ADJ	12	amod
12	viernes	NOUN	9	obl
13	en	ADP	14	case
14	Londres	PROPN	9	obl
15	y	CCONJ	17	cc
16	está	AUX	17	cop
17	confirmada	ADJ	9	conj
18	la	DET	19	det
19	asistencia	NOUN	17	nsubj
20	de	ADP	21	case
21	Almodóvar	PROPN	19	nmod
22	,	PUNCT	23	punct
23	Bardem	PROPN	21	conj
24	,	PUNCT	25	punct
25	Penélope	PROPN	21	conj
26	Cruz	PROPN	25	flat
27	y	CCONJ	28	cc
28	Carmelo	PROPN	21	conj
29	Gómez	PROPN	28	flat
30	.	PUNCT	9	punct