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 Fiscalía General de este país emitió hoy ordenes de detención contra la directiva de Sov Invest, sociedad que administró el Fondo Nacional de Inversiones, tras comprobarse un agujero de más de 500.000 dólares de un total de 170 millones de dólares que este fondo privado había atraído de la población.
Postion	Tokenization
1	La
2	Fiscalía
3	General
4	de
5	este
6	país
7	emitió
8	hoy
9	ordenes
10	de
11	detención
12	contra
13	la
14	directiva
15	de
16	Sov
17	Invest
18	,
19	sociedad
20	que
21	administró
22	el
23	Fondo
24	Nacional
25	de
26	Inversiones
27	,
28	tras
29	comprobarse
30	comprobar
31	se
32	un
33	agujero
34	de
35	más
36	de
37	500.000
38	dólares
39	de
40	un
41	total
42	de
43	170
44	millones
45	de
46	dólares
47	que
48	este
49	fondo
50	privado
51	había
52	atraído
53	de
54	la
55	población
56	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Fiscalía	PROPN	7	nsubj
3	General	PROPN	2	flat
4	de	ADP	6	case
5	este	DET	6	det
6	país	NOUN	2	nmod
7	emitió	VERB	0	root
8	hoy	ADV	7	advmod
9	ordenes	NOUN	7	obj
10	de	ADP	11	case
11	detención	NOUN	9	nmod
12	contra	ADP	14	case
13	la	DET	14	det
14	directiva	NOUN	9	nmod
15	de	ADP	16	case
16	Sov	PROPN	14	nmod
17	Invest	PROPN	16	flat
18	,	PUNCT	19	punct
19	sociedad	NOUN	16	appos
20	que	PRON	21	nsubj
21	administró	VERB	19	acl
22	el	DET	23	det
23	Fondo	PROPN	21	obj
24	Nacional	PROPN	23	flat
25	de	ADP	26	case
26	Inversiones	PROPN	23	flat
27	,	PUNCT	29	punct
28	tras	ADP	29	mark
29	comprobarse	_	None	_
30	comprobar	VERB	21	advcl
31	se	PRON	29	expl:pass
32	un	DET	32	det
33	agujero	NOUN	29	nsubj
34	de	ADP	37	case
35	más	ADV	37	advmod
36	de	ADP	34	fixed
37	500.000	NUM	34	nummod
38	dólares	NOUN	32	nmod
39	de	ADP	40	case
40	un	DET	40	det
41	total	NOUN	29	obl
42	de	ADP	43	case
43	170	NUM	43	nummod
44	millones	NOUN	40	nmod
45	de	ADP	45	case
46	dólares	NOUN	43	nmod
47	que	PRON	51	obj
48	este	DET	48	det
49	fondo	NOUN	51	nsubj
50	privado	ADJ	48	amod
51	había	AUX	51	aux
52	atraído	VERB	43	acl
53	de	ADP	54	case
54	la	DET	54	det
55	población	NOUN	51	obl
56	.	PUNCT	7	punct