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:
No obstante, espero batir el récord de España y acercarme al récord mundial, que es a medio plazo mi gran objetivo ", explicó el asturiano.
Postion	Tokenization
1	No
2	obstante
3	,
4	espero
5	batir
6	el
7	récord
8	de
9	España
10	y
11	acercarme
12	acercar
13	me
14	al
15	récord
16	mundial
17	,
18	que
19	es
20	a
21	medio
22	plazo
23	mi
24	gran
25	objetivo
26	"
27	,
28	explicó
29	el
30	asturiano
31	.
Position	Tokenization	UPOS	Head	Deprel
1	No	PART	4	advmod
2	obstante	NOUN	1	fixed
3	,	PUNCT	1	punct
4	espero	VERB	27	ccomp
5	batir	VERB	4	xcomp
6	el	DET	7	det
7	récord	NOUN	5	obj
8	de	ADP	9	case
9	España	PROPN	7	nmod
10	y	CCONJ	11	cc
11	acercarme	_	None	_
12	acercar	VERB	5	conj
13	me	PRON	11	expl:pv
14	al	ADP	14	case
15	récord	NOUN	11	obl
16	mundial	ADJ	14	amod
17	,	PUNCT	24	punct
18	que	PRON	24	nsubj
19	es	AUX	24	cop
20	a	ADP	24	advmod
21	medio	NOUN	19	fixed
22	plazo	NOUN	19	fixed
23	mi	DET	24	det
24	gran	ADJ	24	amod
25	objetivo	NOUN	14	acl
26	"	PUNCT	4	punct
27	,	PUNCT	4	punct
28	explicó	VERB	0	root
29	el	DET	29	det
30	asturiano	NOUN	27	nsubj
31	.	PUNCT	27	punct