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:
Otro sector que a juicio de los expertos ha sido clave en el desembarco de inversores españoles ha sido el bancario, donde sobresalen el BSCH y el BBVA.
Postion	Tokenization
1	Otro
2	sector
3	que
4	a
5	juicio
6	de
7	los
8	expertos
9	ha
10	sido
11	clave
12	en
13	el
14	desembarco
15	de
16	inversores
17	españoles
18	ha
19	sido
20	el
21	bancario
22	,
23	donde
24	sobresalen
25	el
26	BSCH
27	y
28	el
29	BBVA
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Otro	DET	2	det
2	sector	NOUN	19	nsubj
3	que	PRON	11	nsubj
4	a	ADP	5	case
5	juicio	NOUN	11	obl
6	de	ADP	8	case
7	los	DET	8	det
8	expertos	NOUN	5	nmod
9	ha	AUX	11	aux
10	sido	AUX	11	cop
11	clave	NOUN	2	acl
12	en	ADP	14	case
13	el	DET	14	det
14	desembarco	NOUN	11	obl
15	de	ADP	16	case
16	inversores	NOUN	14	nmod
17	españoles	ADJ	16	amod
18	ha	AUX	19	aux
19	sido	AUX	0	root
20	el	DET	24	det
21	bancario	ADJ	24	amod
22	,	PUNCT	24	punct
23	donde	PRON	24	obl
24	sobresalen	VERB	19	ccomp
25	el	DET	26	det
26	BSCH	PROPN	24	nsubj
27	y	CCONJ	29	cc
28	el	DET	29	det
29	BBVA	PROPN	26	conj
30	.	PUNCT	19	punct