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 escenario se centró en una única habitación que era, convenientemente camuflado, el comedor del apartamento que Gimelberg compartía con otras personas en Harlem.
Postion	Tokenization
1	El
2	escenario
3	se
4	centró
5	en
6	una
7	única
8	habitación
9	que
10	era
11	,
12	convenientemente
13	camuflado
14	,
15	el
16	comedor
17	del
18	apartamento
19	que
20	Gimelberg
21	compartía
22	con
23	otras
24	personas
25	en
26	Harlem
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	escenario	NOUN	4	nsubj
3	se	PRON	4	expl:pass
4	centró	VERB	0	root
5	en	ADP	8	case
6	una	DET	8	det
7	única	ADJ	8	amod
8	habitación	NOUN	4	obj
9	que	PRON	16	nsubj
10	era	AUX	16	cop
11	,	PUNCT	13	punct
12	convenientemente	ADV	13	advmod
13	camuflado	ADJ	16	advmod
14	,	PUNCT	13	punct
15	el	DET	16	det
16	comedor	NOUN	8	acl
17	del	ADP	18	case
18	apartamento	NOUN	16	nmod
19	que	PRON	21	obj
20	Gimelberg	PROPN	21	nsubj
21	compartía	VERB	18	acl
22	con	ADP	24	case
23	otras	DET	24	det
24	personas	NOUN	21	obj
25	en	ADP	26	case
26	Harlem	PROPN	21	obl
27	.	PUNCT	4	punct