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 prestigioso compositor norteamericano considera que "se está creando una audiencia nueva que viene a la ópera con el ánimo de ver algo diferente".
Postion	Tokenization
1	El
2	prestigioso
3	compositor
4	norteamericano
5	considera
6	que
7	"
8	se
9	está
10	creando
11	una
12	audiencia
13	nueva
14	que
15	viene
16	a
17	la
18	ópera
19	con
20	el
21	ánimo
22	de
23	ver
24	algo
25	diferente
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	prestigioso	ADJ	3	amod
3	compositor	NOUN	5	nsubj
4	norteamericano	ADJ	3	amod
5	considera	VERB	0	root
6	que	SCONJ	10	mark
7	"	PUNCT	10	punct
8	se	PRON	10	expl:pass
9	está	AUX	10	aux
10	creando	VERB	5	ccomp
11	una	DET	12	det
12	audiencia	NOUN	10	nsubj
13	nueva	ADJ	12	amod
14	que	PRON	15	nsubj
15	viene	VERB	12	acl
16	a	ADP	18	case
17	la	DET	18	det
18	ópera	NOUN	15	obl
19	con	ADP	21	case
20	el	DET	21	det
21	ánimo	NOUN	15	obl
22	de	ADP	23	mark
23	ver	VERB	21	acl
24	algo	PRON	23	obj
25	diferente	ADJ	24	amod
26	"	PUNCT	10	punct
27	.	PUNCT	5	punct