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:
En octubre del 2000, la Fiscalía Anticorrupción se quejó de la actuación del Banco de España en el caso Privanza, un supuesto fraude que es investigado desde agosto de ese año.
Postion	Tokenization
1	En
2	octubre
3	del
4	2000
5	,
6	la
7	Fiscalía
8	Anticorrupción
9	se
10	quejó
11	de
12	la
13	actuación
14	del
15	Banco
16	de
17	España
18	en
19	el
20	caso
21	Privanza
22	,
23	un
24	supuesto
25	fraude
26	que
27	es
28	investigado
29	desde
30	agosto
31	de
32	ese
33	año
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	octubre	NOUN	10	obl
3	del	ADP	4	case
4	2000	NUM	2	compound
5	,	PUNCT	2	punct
6	la	DET	7	det
7	Fiscalía	PROPN	10	nsubj
8	Anticorrupción	PROPN	7	flat
9	se	PRON	10	expl:pv
10	quejó	VERB	0	root
11	de	ADP	13	case
12	la	DET	13	det
13	actuación	NOUN	10	obj
14	del	ADP	15	case
15	Banco	PROPN	13	nmod
16	de	ADP	17	case
17	España	PROPN	15	flat
18	en	ADP	20	case
19	el	DET	20	det
20	caso	NOUN	13	nmod
21	Privanza	PROPN	20	appos
22	,	PUNCT	25	punct
23	un	DET	25	det
24	supuesto	ADJ	25	amod
25	fraude	NOUN	20	appos
26	que	PRON	28	nsubj
27	es	AUX	28	aux
28	investigado	VERB	25	acl
29	desde	ADP	30	case
30	agosto	NOUN	28	obl
31	de	ADP	33	case
32	ese	DET	33	det
33	año	NOUN	30	nmod
34	.	PUNCT	10	punct