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 madrileño registró ayer el más bajo volumen de negociación de todo el año (69.715 millones de pesetas) debido al cierre por festividad en Londres y Wall Street.
Postion	Tokenization
1	El
2	mercado
3	madrileño
4	registró
5	ayer
6	el
7	más
8	bajo
9	volumen
10	de
11	negociación
12	de
13	todo
14	el
15	año
16	(
17	69.715
18	millones
19	de
20	pesetas
21	)
22	debido
23	al
24	cierre
25	por
26	festividad
27	en
28	Londres
29	y
30	Wall
31	Street
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	mercado	NOUN	4	nsubj
3	madrileño	ADJ	2	amod
4	registró	VERB	0	root
5	ayer	ADV	4	advmod
6	el	DET	9	det
7	más	ADV	8	advmod
8	bajo	ADJ	9	amod
9	volumen	NOUN	4	obj
10	de	ADP	11	case
11	negociación	NOUN	9	nmod
12	de	ADP	15	case
13	todo	DET	14	det
14	el	DET	15	det
15	año	NOUN	9	nmod
16	(	PUNCT	18	punct
17	69.715	NUM	18	nummod
18	millones	NOUN	9	appos
19	de	ADP	20	case
20	pesetas	NOUN	18	nmod
21	)	PUNCT	18	punct
22	debido	ADJ	24	case
23	al	ADP	22	fixed
24	cierre	NOUN	4	obl
25	por	ADP	26	case
26	festividad	NOUN	24	nmod
27	en	ADP	28	case
28	Londres	PROPN	24	nmod
29	y	CCONJ	30	cc
30	Wall	PROPN	28	conj
31	Street	PROPN	30	flat
32	.	PUNCT	4	punct