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:
Ingrid Rubio y Roberto Enríquez encabezan un amplio reparto en el que están Chete Lera (que ayer hizo doblete en Málaga), Adriana Ozores, Miguel Ángel Solá y Jordi Dauder.
Postion	Tokenization
1	Ingrid
2	Rubio
3	y
4	Roberto
5	Enríquez
6	encabezan
7	un
8	amplio
9	reparto
10	en
11	el
12	que
13	están
14	Chete
15	Lera
16	(
17	que
18	ayer
19	hizo
20	doblete
21	en
22	Málaga
23	)
24	,
25	Adriana
26	Ozores
27	,
28	Miguel
29	Ángel
30	Solá
31	y
32	Jordi
33	Dauder
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ingrid	PROPN	6	nsubj
2	Rubio	PROPN	1	flat
3	y	CCONJ	4	cc
4	Roberto	PROPN	1	conj
5	Enríquez	PROPN	4	flat
6	encabezan	VERB	0	root
7	un	DET	9	det
8	amplio	ADJ	9	amod
9	reparto	NOUN	6	obj
10	en	ADP	12	case
11	el	DET	12	det
12	que	PRON	13	obl
13	están	VERB	9	acl
14	Chete	PROPN	13	nsubj
15	Lera	PROPN	14	flat
16	(	PUNCT	19	punct
17	que	PRON	19	nsubj
18	ayer	ADV	19	advmod
19	hizo	VERB	14	acl
20	doblete	NOUN	19	obj
21	en	ADP	22	case
22	Málaga	PROPN	19	obl
23	)	PUNCT	19	punct
24	,	PUNCT	25	punct
25	Adriana	PROPN	14	conj
26	Ozores	PROPN	25	flat
27	,	PUNCT	28	punct
28	Miguel	PROPN	14	conj
29	Ángel	PROPN	28	flat
30	Solá	PROPN	28	flat
31	y	CCONJ	32	cc
32	Jordi	PROPN	14	conj
33	Dauder	PROPN	32	flat
34	.	PUNCT	6	punct