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:
Baste recordar que - sin ningún desdoro uno de los grupos ecológicos más activos se llama Greenpeace, tanto en Inglaterra como en Italia, en Brasil o en Gales.
Postion	Tokenization
1	Baste
2	recordar
3	que
4	-
5	sin
6	ningún
7	desdoro
8	uno
9	de
10	los
11	grupos
12	ecológicos
13	más
14	activos
15	se
16	llama
17	Greenpeace
18	,
19	tanto
20	en
21	Inglaterra
22	como
23	en
24	Italia
25	,
26	en
27	Brasil
28	o
29	en
30	Gales
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Baste	VERB	0	root
2	recordar	VERB	1	csubj
3	que	SCONJ	16	mark
4	-	PUNCT	7	punct
5	sin	ADP	7	case
6	ningún	DET	7	det
7	desdoro	NOUN	16	obl
8	uno	PRON	16	nsubj
9	de	ADP	11	case
10	los	DET	11	det
11	grupos	NOUN	8	nmod
12	ecológicos	ADJ	11	amod
13	más	ADV	14	advmod
14	activos	ADJ	11	amod
15	se	PRON	16	expl:pv
16	llama	VERB	2	ccomp
17	Greenpeace	PROPN	16	obj
18	,	PUNCT	21	punct
19	tanto	ADV	21	cc
20	en	ADP	21	case
21	Inglaterra	PROPN	16	obl
22	como	SCONJ	24	cc
23	en	ADP	24	case
24	Italia	PROPN	21	conj
25	,	PUNCT	27	punct
26	en	ADP	27	case
27	Brasil	PROPN	24	conj
28	o	CCONJ	30	cc
29	en	ADP	30	case
30	Gales	PROPN	24	conj
31	.	PUNCT	1	punct