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:
"Muchos grupos en Alemania o EEUU dejan incluso de cobrar si no van por buen camino - - afirmó - -. Aquí, si no investigas, no pasa nada, e incluso está mal visto hacerlo".
Postion	Tokenization
1	"
2	Muchos
3	grupos
4	en
5	Alemania
6	o
7	EEUU
8	dejan
9	incluso
10	de
11	cobrar
12	si
13	no
14	van
15	por
16	buen
17	camino
18	-
19	-
20	afirmó
21	-
22	-
23	.
24	Aquí
25	,
26	si
27	no
28	investigas
29	,
30	no
31	pasa
32	nada
33	,
34	e
35	incluso
36	está
37	mal
38	visto
39	hacerlo
40	hacer
41	lo
42	"
43	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Muchos	DET	3	det
3	grupos	NOUN	8	nsubj
4	en	ADP	5	case
5	Alemania	PROPN	3	nmod
6	o	CCONJ	7	cc
7	EEUU	PROPN	5	conj
8	dejan	VERB	0	root
9	incluso	ADV	8	advmod
10	de	ADP	11	mark
11	cobrar	VERB	8	xcomp
12	si	SCONJ	14	mark
13	no	ADV	14	advmod
14	van	VERB	11	advcl
15	por	ADP	17	case
16	buen	ADJ	17	amod
17	camino	NOUN	14	obl
18	-	PUNCT	20	punct
19	-	PUNCT	20	punct
20	afirmó	VERB	11	parataxis
21	-	PUNCT	20	punct
22	-	PUNCT	20	punct
23	.	PUNCT	11	punct
24	Aquí	ADV	31	advmod
25	,	PUNCT	28	punct
26	si	SCONJ	28	mark
27	no	ADV	28	advmod
28	investigas	VERB	31	advcl
29	,	PUNCT	28	punct
30	no	ADV	31	advmod
31	pasa	VERB	11	advcl
32	nada	PRON	31	nsubj
33	,	PUNCT	38	punct
34	e	CCONJ	38	cc
35	incluso	ADV	38	advmod
36	está	AUX	38	cop
37	mal	ADV	38	advmod
38	visto	ADJ	31	conj
39	hacerlo	_	None	_
40	hacer	VERB	38	csubj
41	lo	PRON	39	obj
42	"	PUNCT	8	punct
43	.	PUNCT	8	punct