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:
Por ejemplo: el próximo nieto de la señora Caballé debería llamarse Chamuscado Liceo, y alguno de los venideros descendientes del señor Ruiz Mateos podría llamarse Atrapado Con Leche.
Postion	Tokenization
1	Por
2	ejemplo
3	:
4	el
5	próximo
6	nieto
7	de
8	la
9	señora
10	Caballé
11	debería
12	llamarse
13	llamar
14	se
15	Chamuscado
16	Liceo
17	,
18	y
19	alguno
20	de
21	los
22	venideros
23	descendientes
24	del
25	señor
26	Ruiz
27	Mateos
28	podría
29	llamarse
30	llamar
31	se
32	Atrapado
33	Con
34	Leche
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	0	root
2	ejemplo	NOUN	1	fixed
3	:	PUNCT	12	punct
4	el	DET	6	det
5	próximo	ADJ	6	amod
6	nieto	NOUN	12	nsubj
7	de	ADP	10	case
8	la	DET	10	det
9	señora	NOUN	6	nmod
10	Caballé	PROPN	9	flat
11	debería	AUX	12	aux
12	llamarse	_	None	_
13	llamar	VERB	1	advcl
14	se	PRON	12	expl:pv
15	Chamuscado	PROPN	12	obj
16	Liceo	PROPN	14	flat
17	,	PUNCT	28	punct
18	y	CCONJ	28	cc
19	alguno	PRON	28	nsubj
20	de	ADP	22	case
21	los	DET	22	det
22	venideros	ADJ	22	amod
23	descendientes	NOUN	18	nmod
24	del	ADP	25	case
25	señor	NOUN	22	nmod
26	Ruiz	PROPN	24	flat
27	Mateos	PROPN	25	flat
28	podría	AUX	28	aux
29	llamarse	_	None	_
30	llamar	VERB	12	conj
31	se	PRON	28	expl:pv
32	Atrapado	PROPN	28	obj
33	Con	ADP	32	case
34	Leche	PROPN	30	flat
35	.	PUNCT	1	punct