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:
"Las prostitutas siempre estaban abajo, cerca del tanatorio, pero las nuevas, si nos descuidamos, se nos cuelan en el hotel", denuncia EL ESCENARIO.
Postion	Tokenization
1	"
2	Las
3	prostitutas
4	siempre
5	estaban
6	abajo
7	,
8	cerca
9	del
10	tanatorio
11	,
12	pero
13	las
14	nuevas
15	,
16	si
17	nos
18	descuidamos
19	,
20	se
21	nos
22	cuelan
23	en
24	el
25	hotel
26	"
27	,
28	denuncia
29	EL
30	ESCENARIO
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Las	DET	3	det
3	prostitutas	NOUN	5	nsubj
4	siempre	ADV	5	advmod
5	estaban	VERB	28	ccomp
6	abajo	ADV	5	advmod
7	,	PUNCT	8	punct
8	cerca	ADV	6	advmod
9	del	ADP	10	case
10	tanatorio	NOUN	8	obl
11	,	PUNCT	8	punct
12	pero	CCONJ	22	cc
13	las	DET	14	det
14	nuevas	ADJ	22	nsubj
15	,	PUNCT	18	punct
16	si	SCONJ	18	mark
17	nos	PRON	18	expl:pv
18	descuidamos	VERB	22	advcl
19	,	PUNCT	18	punct
20	se	PRON	22	expl:pv
21	nos	PRON	22	iobj
22	cuelan	VERB	5	conj
23	en	ADP	25	case
24	el	DET	25	det
25	hotel	NOUN	22	obl
26	"	PUNCT	5	punct
27	,	PUNCT	5	punct
28	denuncia	VERB	0	root
29	EL	DET	30	det
30	ESCENARIO	PROPN	28	nsubj
31	.	PUNCT	28	punct