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:
Mensajes que alguna vez se borraron bien borrados para eliminar sombras, se iluminaban gracias a su pericia y, además, valían mucho dinero en el sistema judicial estadounidense.
Postion	Tokenization
1	Mensajes
2	que
3	alguna
4	vez
5	se
6	borraron
7	bien
8	borrados
9	para
10	eliminar
11	sombras
12	,
13	se
14	iluminaban
15	gracias
16	a
17	su
18	pericia
19	y
20	,
21	además
22	,
23	valían
24	mucho
25	dinero
26	en
27	el
28	sistema
29	judicial
30	estadounidense
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Mensajes	NOUN	14	nsubj
2	que	PRON	6	nsubj
3	alguna	DET	4	det
4	vez	NOUN	6	obl
5	se	PRON	6	expl:pass
6	borraron	VERB	1	acl
7	bien	ADV	8	advmod
8	borrados	ADJ	6	obj
9	para	ADP	10	mark
10	eliminar	VERB	6	advcl
11	sombras	NOUN	10	obj
12	,	PUNCT	6	punct
13	se	PRON	14	expl:pv
14	iluminaban	VERB	0	root
15	gracias	NOUN	18	case
16	a	ADP	15	fixed
17	su	DET	18	det
18	pericia	NOUN	14	obl
19	y	CCONJ	23	cc
20	,	PUNCT	21	punct
21	además	ADV	23	advmod
22	,	PUNCT	21	punct
23	valían	VERB	14	conj
24	mucho	DET	25	det
25	dinero	NOUN	23	obj
26	en	ADP	28	case
27	el	DET	28	det
28	sistema	NOUN	23	obl
29	judicial	ADJ	28	amod
30	estadounidense	ADJ	28	amod
31	.	PUNCT	14	punct