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:
El exlíder de Los Ronaldos se presenta en compañía de Alex Olmedo y bajo el nombre de Las Mentiras, un proyecto que le sirve para repasar las canciones que marcaron su formación como músico.
Postion	Tokenization
1	El
2	exlíder
3	de
4	Los
5	Ronaldos
6	se
7	presenta
8	en
9	compañía
10	de
11	Alex
12	Olmedo
13	y
14	bajo
15	el
16	nombre
17	de
18	Las
19	Mentiras
20	,
21	un
22	proyecto
23	que
24	le
25	sirve
26	para
27	repasar
28	las
29	canciones
30	que
31	marcaron
32	su
33	formación
34	como
35	músico
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	exlíder	NOUN	7	nsubj
3	de	ADP	5	case
4	Los	DET	5	det
5	Ronaldos	PROPN	2	nmod
6	se	PRON	7	obj
7	presenta	VERB	0	root
8	en	ADP	11	case
9	compañía	NOUN	8	fixed
10	de	ADP	8	fixed
11	Alex	PROPN	7	obl
12	Olmedo	PROPN	11	flat
13	y	CCONJ	16	cc
14	bajo	ADP	16	case
15	el	DET	16	det
16	nombre	NOUN	11	conj
17	de	ADP	19	case
18	Las	DET	19	det
19	Mentiras	PROPN	16	nmod
20	,	PUNCT	22	punct
21	un	DET	22	det
22	proyecto	NOUN	18	appos
23	que	PRON	25	nsubj
24	le	PRON	25	iobj
25	sirve	VERB	22	acl
26	para	ADP	27	mark
27	repasar	VERB	25	xcomp
28	las	DET	29	det
29	canciones	NOUN	27	obj
30	que	PRON	31	nsubj
31	marcaron	VERB	29	acl
32	su	DET	33	det
33	formación	NOUN	31	obj
34	como	SCONJ	35	mark
35	músico	NOUN	33	nmod
36	.	PUNCT	7	punct