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:
En ese contexto bajista, Telefónica - - que perdió un 1,7%, Terra (4,4%) y TPI (2,6%) mantuvieron los índices en negativo durante toda la jornada.
Postion	Tokenization
1	En
2	ese
3	contexto
4	bajista
5	,
6	Telefónica
7	-
8	-
9	que
10	perdió
11	un
12	1,7%
13	,
14	Terra
15	(
16	4,4%
17	)
18	y
19	TPI
20	(
21	2,6%
22	)
23	mantuvieron
24	los
25	índices
26	en
27	negativo
28	durante
29	toda
30	la
31	jornada
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	ese	DET	3	det
3	contexto	NOUN	23	obl
4	bajista	ADJ	3	amod
5	,	PUNCT	3	punct
6	Telefónica	PROPN	23	nsubj
7	-	PUNCT	10	punct
8	-	PUNCT	10	punct
9	que	PRON	10	nsubj
10	perdió	VERB	6	acl
11	un	DET	12	det
12	1,7%	SYM	10	obj
13	,	PUNCT	14	punct
14	Terra	PROPN	6	conj
15	(	PUNCT	16	punct
16	4,4%	SYM	14	appos
17	)	PUNCT	16	punct
18	y	CCONJ	19	cc
19	TPI	PROPN	6	conj
20	(	PUNCT	21	punct
21	2,6%	SYM	19	appos
22	)	PUNCT	21	punct
23	mantuvieron	VERB	0	root
24	los	DET	25	det
25	índices	NOUN	23	obj
26	en	ADP	27	case
27	negativo	ADJ	25	amod
28	durante	ADP	31	case
29	toda	DET	30	det
30	la	DET	31	det
31	jornada	NOUN	23	obl
32	.	PUNCT	23	punct