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 Supremo aumentó de 28 a 31 años de cárcel la pena de la Audiencia Provincial a Roldán, y de 9 a 12 a su testaferro Jorge Esparza, su socio en Europe Capital SL.
Postion	Tokenization
1	El
2	Supremo
3	aumentó
4	de
5	28
6	a
7	31
8	años
9	de
10	cárcel
11	la
12	pena
13	de
14	la
15	Audiencia
16	Provincial
17	a
18	Roldán
19	,
20	y
21	de
22	9
23	a
24	12
25	a
26	su
27	testaferro
28	Jorge
29	Esparza
30	,
31	su
32	socio
33	en
34	Europe
35	Capital
36	SL
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Supremo	PROPN	3	nsubj
3	aumentó	VERB	0	root
4	de	ADP	5	case
5	28	NUM	3	obl
6	a	ADP	8	case
7	31	NUM	8	nummod
8	años	NOUN	3	obl
9	de	ADP	10	case
10	cárcel	NOUN	8	nmod
11	la	DET	12	det
12	pena	NOUN	3	obj
13	de	ADP	15	case
14	la	DET	15	det
15	Audiencia	PROPN	12	nmod
16	Provincial	PROPN	15	flat
17	a	ADP	18	case
18	Roldán	PROPN	3	obj
19	,	PUNCT	22	punct
20	y	CCONJ	22	cc
21	de	ADP	22	case
22	9	NUM	3	conj
23	a	ADP	24	case
24	12	NUM	22	nummod
25	a	ADP	27	case
26	su	DET	27	det
27	testaferro	NOUN	22	nmod
28	Jorge	PROPN	27	appos
29	Esparza	PROPN	28	flat
30	,	PUNCT	32	punct
31	su	DET	32	det
32	socio	NOUN	28	appos
33	en	ADP	34	case
34	Europe	PROPN	32	nmod
35	Capital	PROPN	34	flat
36	SL	PROPN	34	flat
37	.	PUNCT	3	punct