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:
Jessen ha proporcionado a los jueces mensajes electrónicos donde empresarios, abogados, médicos o trabajadores explicaban trapicheos de todo tamaño y color, conspiraciones, instrucciones para eliminar pruebas, la sorpresa porque un paciente se había salvado tras una operación chapuza o, directamente, la planificación de chantajes a cadenas de supermercados.
Postion	Tokenization
1	Jessen
2	ha
3	proporcionado
4	a
5	los
6	jueces
7	mensajes
8	electrónicos
9	donde
10	empresarios
11	,
12	abogados
13	,
14	médicos
15	o
16	trabajadores
17	explicaban
18	trapicheos
19	de
20	todo
21	tamaño
22	y
23	color
24	,
25	conspiraciones
26	,
27	instrucciones
28	para
29	eliminar
30	pruebas
31	,
32	la
33	sorpresa
34	porque
35	un
36	paciente
37	se
38	había
39	salvado
40	tras
41	una
42	operación
43	chapuza
44	o
45	,
46	directamente
47	,
48	la
49	planificación
50	de
51	chantajes
52	a
53	cadenas
54	de
55	supermercados
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Jessen	PROPN	3	nsubj
2	ha	AUX	3	aux
3	proporcionado	VERB	0	root
4	a	ADP	6	case
5	los	DET	6	det
6	jueces	NOUN	3	obj
7	mensajes	NOUN	3	obj
8	electrónicos	ADJ	7	amod
9	donde	PRON	17	obl
10	empresarios	NOUN	17	nsubj
11	,	PUNCT	12	punct
12	abogados	NOUN	10	conj
13	,	PUNCT	14	punct
14	médicos	NOUN	10	conj
15	o	CCONJ	16	cc
16	trabajadores	NOUN	10	conj
17	explicaban	VERB	7	acl
18	trapicheos	NOUN	17	obj
19	de	ADP	21	case
20	todo	DET	21	det
21	tamaño	NOUN	18	nmod
22	y	CCONJ	23	cc
23	color	NOUN	21	conj
24	,	PUNCT	25	punct
25	conspiraciones	NOUN	18	appos
26	,	PUNCT	27	punct
27	instrucciones	NOUN	18	appos
28	para	ADP	29	mark
29	eliminar	VERB	27	acl
30	pruebas	NOUN	29	obj
31	,	PUNCT	33	punct
32	la	DET	33	det
33	sorpresa	NOUN	18	appos
34	porque	SCONJ	39	mark
35	un	DET	36	det
36	paciente	NOUN	39	nsubj
37	se	PRON	39	expl:pv
38	había	AUX	39	aux
39	salvado	VERB	33	acl
40	tras	ADP	42	case
41	una	DET	42	det
42	operación	NOUN	39	obl
43	chapuza	NOUN	42	nmod
44	o	CCONJ	49	cc
45	,	PUNCT	46	punct
46	directamente	ADV	49	advmod
47	,	PUNCT	46	punct
48	la	DET	49	det
49	planificación	NOUN	18	conj
50	de	ADP	51	case
51	chantajes	NOUN	49	nmod
52	a	ADP	53	case
53	cadenas	NOUN	51	nmod
54	de	ADP	55	case
55	supermercados	NOUN	53	nmod
56	.	PUNCT	3	punct