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:
Esto es lo que está sucediendo en EEUU a una escala espectacular, hasta el punto de que ya ha originado una floreciente industria centrada en un nuevo profesional: el forense digital.
Postion	Tokenization
1	Esto
2	es
3	lo
4	que
5	está
6	sucediendo
7	en
8	EEUU
9	a
10	una
11	escala
12	espectacular
13	,
14	hasta
15	el
16	punto
17	de
18	que
19	ya
20	ha
21	originado
22	una
23	floreciente
24	industria
25	centrada
26	en
27	un
28	nuevo
29	profesional
30	:
31	el
32	forense
33	digital
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Esto	PRON	2	nsubj
2	es	AUX	0	root
3	lo	PRON	6	det
4	que	PRON	6	nsubj
5	está	AUX	6	aux
6	sucediendo	VERB	2	ccomp
7	en	ADP	8	case
8	EEUU	PROPN	6	obl
9	a	ADP	11	case
10	una	DET	11	det
11	escala	NOUN	6	obl
12	espectacular	ADJ	11	amod
13	,	PUNCT	21	punct
14	hasta	ADP	21	mark
15	el	DET	14	fixed
16	punto	NOUN	14	fixed
17	de	ADP	14	fixed
18	que	SCONJ	21	mark
19	ya	ADV	21	advmod
20	ha	AUX	21	aux
21	originado	VERB	6	advcl
22	una	DET	24	det
23	floreciente	ADJ	24	amod
24	industria	NOUN	21	obj
25	centrada	ADJ	24	amod
26	en	ADP	29	case
27	un	DET	29	det
28	nuevo	ADJ	29	amod
29	profesional	NOUN	25	obj
30	:	PUNCT	32	punct
31	el	DET	32	det
32	forense	ADJ	29	appos
33	digital	ADJ	32	amod
34	.	PUNCT	2	punct