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:
EL MINISTRO DE EXTERIORES ruso, Igor Ivanov, agradeció al presidente de la Xunta el impulso que dio, en los años 70, a las relaciones entre España y la entonces URSS.
Postion	Tokenization
1	EL
2	MINISTRO
3	DE
4	EXTERIORES
5	ruso
6	,
7	Igor
8	Ivanov
9	,
10	agradeció
11	al
12	presidente
13	de
14	la
15	Xunta
16	el
17	impulso
18	que
19	dio
20	,
21	en
22	los
23	años
24	70
25	,
26	a
27	las
28	relaciones
29	entre
30	España
31	y
32	la
33	entonces
34	URSS
35	.
Position	Tokenization	UPOS	Head	Deprel
1	EL	DET	2	det
2	MINISTRO	PROPN	10	nsubj
3	DE	ADP	4	case
4	EXTERIORES	PROPN	2	flat
5	ruso	ADJ	2	amod
6	,	PUNCT	7	punct
7	Igor	PROPN	2	flat
8	Ivanov	PROPN	7	flat
9	,	PUNCT	7	punct
10	agradeció	VERB	0	root
11	al	ADP	12	case
12	presidente	NOUN	10	obj
13	de	ADP	15	case
14	la	DET	15	det
15	Xunta	PROPN	12	nmod
16	el	DET	17	det
17	impulso	NOUN	10	obj
18	que	PRON	19	obj
19	dio	VERB	17	acl
20	,	PUNCT	23	punct
21	en	ADP	23	case
22	los	DET	23	det
23	años	NOUN	19	obl
24	70	NUM	23	compound
25	,	PUNCT	23	punct
26	a	ADP	28	case
27	las	DET	28	det
28	relaciones	NOUN	19	obj
29	entre	ADP	30	case
30	España	PROPN	28	nmod
31	y	CCONJ	34	cc
32	la	DET	34	det
33	entonces	ADV	34	advmod
34	URSS	PROPN	30	conj
35	.	PUNCT	10	punct