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:
El presidente del Atlético de Madrid será juzgado a partir de hoy por el caso Atlético, un asunto de presunta malversación de caudales públicos en el patrocinio deportivo.
Postion	Tokenization
1	El
2	presidente
3	del
4	Atlético
5	de
6	Madrid
7	será
8	juzgado
9	a
10	partir
11	de
12	hoy
13	por
14	el
15	caso
16	Atlético
17	,
18	un
19	asunto
20	de
21	presunta
22	malversación
23	de
24	caudales
25	públicos
26	en
27	el
28	patrocinio
29	deportivo
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	8	nsubj
3	del	ADP	4	case
4	Atlético	PROPN	2	nmod
5	de	ADP	6	case
6	Madrid	PROPN	4	flat
7	será	AUX	8	aux
8	juzgado	VERB	0	root
9	a	ADP	12	case
10	partir	NOUN	9	fixed
11	de	ADP	9	fixed
12	hoy	ADV	8	advmod
13	por	ADP	15	case
14	el	DET	15	det
15	caso	NOUN	8	obl
16	Atlético	PROPN	15	appos
17	,	PUNCT	19	punct
18	un	DET	19	det
19	asunto	NOUN	15	appos
20	de	ADP	22	case
21	presunta	ADJ	22	amod
22	malversación	NOUN	19	nmod
23	de	ADP	24	case
24	caudales	NOUN	22	nmod
25	públicos	ADJ	24	amod
26	en	ADP	28	case
27	el	DET	28	det
28	patrocinio	NOUN	22	nmod
29	deportivo	ADJ	28	amod
30	.	PUNCT	8	punct