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 mercado ha valorado positivamente la noticia y las acciones ascendieron un 4,9% el viernes, después de que la cotización quedara suspendida por la mañana.
Postion	Tokenization
1	El
2	mercado
3	ha
4	valorado
5	positivamente
6	la
7	noticia
8	y
9	las
10	acciones
11	ascendieron
12	un
13	4,9%
14	el
15	viernes
16	,
17	después
18	de
19	que
20	la
21	cotización
22	quedara
23	suspendida
24	por
25	la
26	mañana
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	mercado	NOUN	4	nsubj
3	ha	AUX	4	aux
4	valorado	VERB	0	root
5	positivamente	ADV	4	advmod
6	la	DET	7	det
7	noticia	NOUN	4	obj
8	y	CCONJ	11	cc
9	las	DET	10	det
10	acciones	NOUN	11	nsubj
11	ascendieron	VERB	4	conj
12	un	DET	13	det
13	4,9%	SYM	11	obj
14	el	DET	15	det
15	viernes	NOUN	11	obl
16	,	PUNCT	17	punct
17	después	ADV	15	advmod
18	de	ADP	22	mark
19	que	SCONJ	22	mark
20	la	DET	21	det
21	cotización	NOUN	22	nsubj
22	quedara	VERB	17	advcl
23	suspendida	ADJ	22	obj
24	por	ADP	26	case
25	la	DET	26	det
26	mañana	NOUN	23	obl
27	.	PUNCT	4	punct