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:
Insistió en que para que Andalucía converja con Europa, es necesario que se reduzca la tasa de desempleo, además de que se solucionen los déficit en infraestructura, tasa de ocupación, renta per cápita y PIB.
Postion	Tokenization
1	Insistió
2	en
3	que
4	para
5	que
6	Andalucía
7	converja
8	con
9	Europa
10	,
11	es
12	necesario
13	que
14	se
15	reduzca
16	la
17	tasa
18	de
19	desempleo
20	,
21	además
22	de
23	que
24	se
25	solucionen
26	los
27	déficit
28	en
29	infraestructura
30	,
31	tasa
32	de
33	ocupación
34	,
35	renta
36	per
37	cápita
38	y
39	PIB
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Insistió	VERB	0	root
2	en	ADP	12	mark
3	que	SCONJ	12	mark
4	para	ADP	7	mark
5	que	SCONJ	7	mark
6	Andalucía	PROPN	7	nsubj
7	converja	VERB	12	advcl
8	con	ADP	9	case
9	Europa	PROPN	7	obj
10	,	PUNCT	7	punct
11	es	AUX	12	cop
12	necesario	ADJ	1	ccomp
13	que	SCONJ	15	mark
14	se	PRON	15	expl:pass
15	reduzca	VERB	12	csubj
16	la	DET	17	det
17	tasa	NOUN	15	nsubj
18	de	ADP	19	case
19	desempleo	NOUN	17	nmod
20	,	PUNCT	25	punct
21	además	ADV	25	cc
22	de	ADP	21	fixed
23	que	SCONJ	25	mark
24	se	PRON	25	expl:pass
25	solucionen	VERB	15	conj
26	los	DET	27	det
27	déficit	NOUN	25	nsubj
28	en	ADP	29	case
29	infraestructura	NOUN	27	nmod
30	,	PUNCT	31	punct
31	tasa	NOUN	27	appos
32	de	ADP	33	case
33	ocupación	NOUN	31	nmod
34	,	PUNCT	35	punct
35	renta	NOUN	27	appos
36	per	ADP	37	case
37	cápita	NOUN	35	compound
38	y	CCONJ	39	cc
39	PIB	PROPN	27	conj
40	.	PUNCT	1	punct