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:
Cohn-Bendit, conocido como Dani el Rojo durante la revuelta estudiantil de mayo del 68, es sospechoso de haber ayudado a huir y de apoyar económicamente a Hans-Joachim Klein, un presunto cómplice del terrorista Carlos, según indicó un portavoz de la fiscalía.
Postion	Tokenization
1	Cohn-Bendit
2	,
3	conocido
4	como
5	Dani
6	el
7	Rojo
8	durante
9	la
10	revuelta
11	estudiantil
12	de
13	mayo
14	del
15	68
16	,
17	es
18	sospechoso
19	de
20	haber
21	ayudado
22	a
23	huir
24	y
25	de
26	apoyar
27	económicamente
28	a
29	Hans-Joachim
30	Klein
31	,
32	un
33	presunto
34	cómplice
35	del
36	terrorista
37	Carlos
38	,
39	según
40	indicó
41	un
42	portavoz
43	de
44	la
45	fiscalía
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Cohn-Bendit	PROPN	18	nsubj
2	,	PUNCT	3	punct
3	conocido	ADJ	1	amod
4	como	SCONJ	5	mark
5	Dani	PROPN	3	obj
6	el	DET	7	det
7	Rojo	PROPN	5	flat
8	durante	ADP	10	case
9	la	DET	10	det
10	revuelta	NOUN	3	obl
11	estudiantil	ADJ	10	amod
12	de	ADP	13	case
13	mayo	NOUN	10	nmod
14	del	ADP	15	case
15	68	NUM	13	compound
16	,	PUNCT	3	punct
17	es	AUX	18	cop
18	sospechoso	ADJ	0	root
19	de	ADP	21	mark
20	haber	AUX	21	aux
21	ayudado	VERB	18	acl
22	a	ADP	23	mark
23	huir	VERB	21	xcomp
24	y	CCONJ	26	cc
25	de	ADP	26	mark
26	apoyar	VERB	21	conj
27	económicamente	ADV	26	advmod
28	a	ADP	29	case
29	Hans-Joachim	PROPN	26	obj
30	Klein	PROPN	29	flat
31	,	PUNCT	34	punct
32	un	DET	34	det
33	presunto	ADJ	34	amod
34	cómplice	NOUN	29	appos
35	del	ADP	36	case
36	terrorista	NOUN	34	nmod
37	Carlos	PROPN	36	appos
38	,	PUNCT	40	punct
39	según	SCONJ	40	mark
40	indicó	VERB	18	advcl
41	un	DET	42	det
42	portavoz	NOUN	40	nsubj
43	de	ADP	45	case
44	la	DET	45	det
45	fiscalía	NOUN	42	nmod
46	.	PUNCT	18	punct