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:
LIMA (No disponible) MONTEVIDEO (Sin variaciones) La bolsa de Montevideo operó sin variaciones en el mercado de acciones y el índice INDIME cerró a 51.43 puntos, en el mismo nivel de la jornada precedente.
Postion	Tokenization
1	LIMA
2	(
3	No
4	disponible
5	)
6	MONTEVIDEO
7	(
8	Sin
9	variaciones
10	)
11	La
12	bolsa
13	de
14	Montevideo
15	operó
16	sin
17	variaciones
18	en
19	el
20	mercado
21	de
22	acciones
23	y
24	el
25	índice
26	INDIME
27	cerró
28	a
29	51.43
30	puntos
31	,
32	en
33	el
34	mismo
35	nivel
36	de
37	la
38	jornada
39	precedente
40	.
Position	Tokenization	UPOS	Head	Deprel
1	LIMA	PROPN	15	dep
2	(	PUNCT	4	punct
3	No	ADV	4	advmod
4	disponible	ADJ	1	amod
5	)	PUNCT	4	punct
6	MONTEVIDEO	PROPN	1	flat
7	(	PUNCT	9	punct
8	Sin	ADP	9	case
9	variaciones	NOUN	6	nmod
10	)	PUNCT	9	punct
11	La	DET	12	det
12	bolsa	NOUN	15	nsubj
13	de	ADP	14	case
14	Montevideo	PROPN	12	nmod
15	operó	VERB	0	root
16	sin	ADP	17	case
17	variaciones	NOUN	15	obl
18	en	ADP	20	case
19	el	DET	20	det
20	mercado	NOUN	15	obl
21	de	ADP	22	case
22	acciones	NOUN	20	nmod
23	y	CCONJ	27	cc
24	el	DET	25	det
25	índice	NOUN	27	nsubj
26	INDIME	PROPN	25	appos
27	cerró	VERB	15	conj
28	a	ADP	30	case
29	51.43	NUM	30	nummod
30	puntos	NOUN	27	obl
31	,	PUNCT	35	punct
32	en	ADP	35	case
33	el	DET	35	det
34	mismo	DET	33	det
35	nivel	NOUN	30	nmod
36	de	ADP	38	case
37	la	DET	38	det
38	jornada	NOUN	35	nmod
39	precedente	ADJ	38	amod
40	.	PUNCT	15	punct