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 nueva dirección del banco está trabajando en recuperar el prestigio de la institución debido al escándalo por la violación de los límites de crédito en sus negocios con las empresas austriacas C. L. Tradung y otras, que supusieron pérdidas al banco de unos 200 millones de dólares el año pasado.
Postion	Tokenization
1	La
2	nueva
3	dirección
4	del
5	banco
6	está
7	trabajando
8	en
9	recuperar
10	el
11	prestigio
12	de
13	la
14	institución
15	debido
16	al
17	escándalo
18	por
19	la
20	violación
21	de
22	los
23	límites
24	de
25	crédito
26	en
27	sus
28	negocios
29	con
30	las
31	empresas
32	austriacas
33	C.
34	L.
35	Tradung
36	y
37	otras
38	,
39	que
40	supusieron
41	pérdidas
42	al
43	banco
44	de
45	unos
46	200
47	millones
48	de
49	dólares
50	el
51	año
52	pasado
53	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	nueva	ADJ	3	amod
3	dirección	NOUN	7	nsubj
4	del	ADP	5	case
5	banco	NOUN	3	nmod
6	está	AUX	7	aux
7	trabajando	VERB	0	root
8	en	ADP	9	mark
9	recuperar	VERB	7	advcl
10	el	DET	11	det
11	prestigio	NOUN	9	obj
12	de	ADP	14	case
13	la	DET	14	det
14	institución	NOUN	11	nmod
15	debido	ADJ	17	case
16	al	ADP	15	fixed
17	escándalo	NOUN	7	obl
18	por	ADP	20	case
19	la	DET	20	det
20	violación	NOUN	17	nmod
21	de	ADP	23	case
22	los	DET	23	det
23	límites	NOUN	20	nmod
24	de	ADP	25	case
25	crédito	NOUN	23	nmod
26	en	ADP	28	case
27	sus	DET	28	det
28	negocios	NOUN	20	nmod
29	con	ADP	31	case
30	las	DET	31	det
31	empresas	NOUN	28	nmod
32	austriacas	ADJ	31	amod
33	C.	PROPN	31	appos
34	L.	PROPN	33	flat
35	Tradung	PROPN	33	flat
36	y	CCONJ	37	cc
37	otras	PRON	33	conj
38	,	PUNCT	40	punct
39	que	PRON	40	nsubj
40	supusieron	VERB	28	acl
41	pérdidas	NOUN	40	obj
42	al	ADP	43	case
43	banco	NOUN	41	nmod
44	de	ADP	47	case
45	unos	PRON	46	nmod
46	200	NUM	47	nummod
47	millones	NOUN	41	nmod
48	de	ADP	49	case
49	dólares	NOUN	47	nmod
50	el	DET	51	det
51	año	NOUN	40	obl
52	pasado	NOUN	51	compound
53	.	PUNCT	7	punct