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:
La Bolsa de Valores de Londres mantenía hoy, Martes, una tendencia a la baja y su índice general FT-100 descendía a las 10:00 GMT 28,2 puntos y se situaba en 6.342,1.
Postion	Tokenization
1	La
2	Bolsa
3	de
4	Valores
5	de
6	Londres
7	mantenía
8	hoy
9	,
10	Martes
11	,
12	una
13	tendencia
14	a
15	la
16	baja
17	y
18	su
19	índice
20	general
21	FT-100
22	descendía
23	a
24	las
25	10:00
26	GMT
27	28,2
28	puntos
29	y
30	se
31	situaba
32	en
33	6.342,1
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Bolsa	PROPN	7	nsubj
3	de	ADP	4	case
4	Valores	PROPN	2	flat
5	de	ADP	6	case
6	Londres	PROPN	2	nmod
7	mantenía	VERB	0	root
8	hoy	ADV	7	advmod
9	,	PUNCT	10	punct
10	Martes	NOUN	8	obl
11	,	PUNCT	10	punct
12	una	DET	13	det
13	tendencia	NOUN	7	obj
14	a	ADP	16	case
15	la	DET	16	det
16	baja	NOUN	13	nmod
17	y	CCONJ	22	cc
18	su	DET	19	det
19	índice	NOUN	22	nsubj
20	general	ADJ	19	amod
21	FT-100	PROPN	19	appos
22	descendía	VERB	7	conj
23	a	ADP	25	case
24	las	DET	25	det
25	10:00	NUM	22	obl
26	GMT	NOUN	25	compound
27	28,2	NUM	28	nummod
28	puntos	NOUN	22	obj
29	y	CCONJ	31	cc
30	se	PRON	31	expl:pv
31	situaba	VERB	22	conj
32	en	ADP	33	case
33	6.342,1	NUM	31	obl
34	.	PUNCT	7	punct