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:
Ha seguido jugando un papel muy activo en el proceso de paz de Oriente Medio, y hemos mantenido vivo el proceso de Barcelona "de respaldo a la cooperación con los países del Mediterráneo.
Postion	Tokenization
1	Ha
2	seguido
3	jugando
4	un
5	papel
6	muy
7	activo
8	en
9	el
10	proceso
11	de
12	paz
13	de
14	Oriente
15	Medio
16	,
17	y
18	hemos
19	mantenido
20	vivo
21	el
22	proceso
23	de
24	Barcelona
25	"
26	de
27	respaldo
28	a
29	la
30	cooperación
31	con
32	los
33	países
34	del
35	Mediterráneo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Ha	AUX	2	aux
2	seguido	VERB	0	root
3	jugando	VERB	2	xcomp
4	un	DET	5	det
5	papel	NOUN	3	obj
6	muy	ADV	7	advmod
7	activo	ADJ	5	amod
8	en	ADP	10	case
9	el	DET	10	det
10	proceso	NOUN	2	obl
11	de	ADP	12	case
12	paz	NOUN	10	nmod
13	de	ADP	14	case
14	Oriente	PROPN	10	nmod
15	Medio	PROPN	14	flat
16	,	PUNCT	19	punct
17	y	CCONJ	19	cc
18	hemos	AUX	19	aux
19	mantenido	VERB	3	conj
20	vivo	ADJ	19	obj
21	el	DET	22	det
22	proceso	NOUN	19	obj
23	de	ADP	24	case
24	Barcelona	PROPN	22	nmod
25	"	PUNCT	27	punct
26	de	ADP	27	case
27	respaldo	NOUN	22	nmod
28	a	ADP	30	case
29	la	DET	30	det
30	cooperación	NOUN	27	nmod
31	con	ADP	33	case
32	los	DET	33	det
33	países	NOUN	30	nmod
34	del	ADP	35	case
35	Mediterráneo	PROPN	33	nmod
36	.	PUNCT	2	punct