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:
Pero el nuevo, Romero, tampoco sobresale del conjunto, especialmente cuando apechuga sin rubor con frases tan profundas como "La música es el susurro de la vida".
Postion	Tokenization
1	Pero
2	el
3	nuevo
4	,
5	Romero
6	,
7	tampoco
8	sobresale
9	del
10	conjunto
11	,
12	especialmente
13	cuando
14	apechuga
15	sin
16	rubor
17	con
18	frases
19	tan
20	profundas
21	como
22	"
23	La
24	música
25	es
26	el
27	susurro
28	de
29	la
30	vida
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	8	advmod
2	el	DET	3	det
3	nuevo	ADJ	8	nsubj
4	,	PUNCT	5	punct
5	Romero	PROPN	3	obj
6	,	PUNCT	5	punct
7	tampoco	ADV	8	advmod
8	sobresale	VERB	0	root
9	del	ADP	10	case
10	conjunto	NOUN	8	obl
11	,	PUNCT	14	punct
12	especialmente	ADV	14	advmod
13	cuando	SCONJ	14	mark
14	apechuga	VERB	8	advcl
15	sin	ADP	16	case
16	rubor	NOUN	14	obl
17	con	ADP	18	case
18	frases	NOUN	14	obl
19	tan	ADV	20	advmod
20	profundas	ADJ	18	amod
21	como	SCONJ	24	mark
22	"	PUNCT	23	punct
23	La	DET	24	det
24	música	NOUN	18	nmod
25	es	NOUN	23	compound
26	el	DET	27	det
27	susurro	NOUN	23	compound
28	de	ADP	30	case
29	la	DET	30	det
30	vida	NOUN	23	compound
31	"	PUNCT	30	punct
32	.	PUNCT	8	punct