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:
"Ha habido un enorme interés, lo que nos permite pronosticar que en los próximos 15 o 20 días la peseta habrá desaparecido del mercado", explicó José Manuel Fernández Norniella, presidente del Consejo de Cámaras.
Postion	Tokenization
1	"
2	Ha
3	habido
4	un
5	enorme
6	interés
7	,
8	lo
9	que
10	nos
11	permite
12	pronosticar
13	que
14	en
15	los
16	próximos
17	15
18	o
19	20
20	días
21	la
22	peseta
23	habrá
24	desaparecido
25	del
26	mercado
27	"
28	,
29	explicó
30	José
31	Manuel
32	Fernández
33	Norniella
34	,
35	presidente
36	del
37	Consejo
38	de
39	Cámaras
40	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	29	punct
2	Ha	AUX	29	aux
3	habido	AUX	29	ccomp
4	un	DET	6	det
5	enorme	ADJ	6	amod
6	interés	NOUN	3	obj
7	,	PUNCT	11	punct
8	lo	PRON	11	det
9	que	PRON	11	nsubj
10	nos	PRON	11	iobj
11	permite	VERB	3	advcl
12	pronosticar	VERB	11	ccomp
13	que	SCONJ	12	mark
14	en	ADP	20	case
15	los	DET	16	det
16	próximos	NOUN	20	nmod
17	15	NUM	16	nummod
18	o	CCONJ	19	cc
19	20	NUM	16	conj
20	días	NOUN	12	obl
21	la	DET	22	det
22	peseta	NOUN	12	nsubj
23	habrá	AUX	12	aux
24	desaparecido	VERB	12	xcomp
25	del	ADP	26	case
26	mercado	NOUN	12	obl
27	"	PUNCT	3	punct
28	,	PUNCT	3	punct
29	explicó	VERB	0	root
30	José	PROPN	29	nsubj
31	Manuel	PROPN	30	flat
32	Fernández	PROPN	30	flat
33	Norniella	PROPN	30	flat
34	,	PUNCT	35	punct
35	presidente	NOUN	30	appos
36	del	ADP	37	case
37	Consejo	PROPN	35	nmod
38	de	ADP	39	case
39	Cámaras	PROPN	37	flat
40	.	PUNCT	29	punct