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 el "caso Atlético" se investiga si Gil y otros nueve imputados cometieron delitos de estafa y apropiación indebida de algo más de nueve mil millones de pesetas en el club de fútbol.
Postion	Tokenization
1	En
2	el
3	"
4	caso
5	Atlético
6	"
7	se
8	investiga
9	si
10	Gil
11	y
12	otros
13	nueve
14	imputados
15	cometieron
16	delitos
17	de
18	estafa
19	y
20	apropiación
21	indebida
22	de
23	algo
24	más
25	de
26	nueve
27	mil
28	millones
29	de
30	pesetas
31	en
32	el
33	club
34	de
35	fútbol
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	"	PUNCT	4	punct
4	caso	NOUN	8	obl
5	Atlético	PROPN	4	appos
6	"	PUNCT	4	punct
7	se	PRON	8	expl:pass
8	investiga	VERB	0	root
9	si	SCONJ	15	mark
10	Gil	PROPN	15	nsubj
11	y	CCONJ	14	cc
12	otros	DET	14	det
13	nueve	NUM	12	nummod
14	imputados	ADJ	10	conj
15	cometieron	VERB	8	csubj
16	delitos	NOUN	15	obj
17	de	ADP	18	case
18	estafa	NOUN	16	nmod
19	y	CCONJ	20	cc
20	apropiación	NOUN	18	conj
21	indebida	ADJ	20	amod
22	de	ADP	28	case
23	algo	PRON	28	nmod
24	más	ADV	23	fixed
25	de	ADP	23	fixed
26	nueve	NUM	28	nummod
27	mil	NUM	26	compound
28	millones	NOUN	20	nmod
29	de	ADP	30	case
30	pesetas	NOUN	28	nmod
31	en	ADP	33	case
32	el	DET	33	det
33	club	NOUN	15	obl
34	de	ADP	35	case
35	fútbol	NOUN	33	nmod
36	.	PUNCT	8	punct