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 BSCH es el principal accionista de la eléctrica española Unión Fenosa, compañía que ha intentado algunos movimientos para mejorar su cuota de mercado en el sector.
Postion	Tokenization
1	El
2	BSCH
3	es
4	el
5	principal
6	accionista
7	de
8	la
9	eléctrica
10	española
11	Unión
12	Fenosa
13	,
14	compañía
15	que
16	ha
17	intentado
18	algunos
19	movimientos
20	para
21	mejorar
22	su
23	cuota
24	de
25	mercado
26	en
27	el
28	sector
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	BSCH	PROPN	6	nsubj
3	es	AUX	6	cop
4	el	DET	6	det
5	principal	ADJ	6	amod
6	accionista	NOUN	0	root
7	de	ADP	9	case
8	la	DET	9	det
9	eléctrica	ADJ	6	amod
10	española	ADJ	9	amod
11	Unión	PROPN	9	obj
12	Fenosa	PROPN	11	flat
13	,	PUNCT	14	punct
14	compañía	NOUN	9	obj
15	que	PRON	17	nsubj
16	ha	AUX	17	aux
17	intentado	VERB	14	acl
18	algunos	DET	19	det
19	movimientos	NOUN	17	obj
20	para	ADP	21	mark
21	mejorar	VERB	19	acl
22	su	DET	23	det
23	cuota	NOUN	21	obj
24	de	ADP	25	case
25	mercado	NOUN	23	nmod
26	en	ADP	28	case
27	el	DET	28	det
28	sector	NOUN	21	obl
29	.	PUNCT	6	punct