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:
Esperó en el centro del escenario, imperturbable como el apóstol de una Divina Providencia menos dramática que la nuestra, y en el primer silencio leyó el poema premiado.
Postion	Tokenization
1	Esperó
2	en
3	el
4	centro
5	del
6	escenario
7	,
8	imperturbable
9	como
10	el
11	apóstol
12	de
13	una
14	Divina
15	Providencia
16	menos
17	dramática
18	que
19	la
20	nuestra
21	,
22	y
23	en
24	el
25	primer
26	silencio
27	leyó
28	el
29	poema
30	premiado
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Esperó	VERB	0	root
2	en	ADP	4	case
3	el	DET	4	det
4	centro	NOUN	1	obl
5	del	ADP	6	case
6	escenario	NOUN	4	nmod
7	,	PUNCT	8	punct
8	imperturbable	ADJ	1	obj
9	como	SCONJ	11	mark
10	el	DET	11	det
11	apóstol	NOUN	8	nmod
12	de	ADP	14	case
13	una	DET	14	det
14	Divina	PROPN	11	nmod
15	Providencia	PROPN	14	flat
16	menos	ADV	17	advmod
17	dramática	ADJ	14	amod
18	que	SCONJ	19	mark
19	la	DET	17	obl
20	nuestra	DET	19	compound
21	,	PUNCT	8	punct
22	y	CCONJ	27	cc
23	en	ADP	26	case
24	el	DET	26	det
25	primer	ADJ	26	amod
26	silencio	NOUN	27	obl
27	leyó	VERB	1	conj
28	el	DET	29	det
29	poema	NOUN	27	obj
30	premiado	ADJ	29	amod
31	.	PUNCT	1	punct