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:
En Catalunya, el Govern y la oposición han entrado en una dinámica de ver quién ofrece mayores subvenciones a las familias y escuelas de infancia (de 0 a 3 años), intervenciones en las que la Generalitat, por cierto, tiene un déficit considerable.
Postion	Tokenization
1	En
2	Catalunya
3	,
4	el
5	Govern
6	y
7	la
8	oposición
9	han
10	entrado
11	en
12	una
13	dinámica
14	de
15	ver
16	quién
17	ofrece
18	mayores
19	subvenciones
20	a
21	las
22	familias
23	y
24	escuelas
25	de
26	infancia
27	(
28	de
29	0
30	a
31	3
32	años
33	)
34	,
35	intervenciones
36	en
37	las
38	que
39	la
40	Generalitat
41	,
42	por
43	cierto
44	,
45	tiene
46	un
47	déficit
48	considerable
49	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Catalunya	PROPN	10	obl
3	,	PUNCT	2	punct
4	el	DET	5	det
5	Govern	PROPN	10	nsubj
6	y	CCONJ	8	cc
7	la	DET	8	det
8	oposición	NOUN	5	conj
9	han	AUX	10	aux
10	entrado	VERB	0	root
11	en	ADP	13	case
12	una	DET	13	det
13	dinámica	NOUN	10	obl
14	de	ADP	15	mark
15	ver	VERB	13	acl
16	quién	PRON	17	nsubj
17	ofrece	VERB	15	ccomp
18	mayores	ADJ	19	amod
19	subvenciones	NOUN	17	obj
20	a	ADP	22	case
21	las	DET	22	det
22	familias	NOUN	19	nmod
23	y	CCONJ	24	cc
24	escuelas	NOUN	22	conj
25	de	ADP	26	case
26	infancia	NOUN	24	nmod
27	(	PUNCT	29	punct
28	de	ADP	29	case
29	0	NUM	24	nummod
30	a	ADP	32	case
31	3	NUM	32	nummod
32	años	NOUN	29	nmod
33	)	PUNCT	29	punct
34	,	PUNCT	35	punct
35	intervenciones	NOUN	19	conj
36	en	ADP	38	case
37	las	DET	38	det
38	que	PRON	45	obl
39	la	DET	40	det
40	Generalitat	PROPN	45	nsubj
41	,	PUNCT	42	punct
42	por	ADP	45	advmod
43	cierto	ADJ	42	fixed
44	,	PUNCT	42	punct
45	tiene	VERB	35	acl
46	un	DET	47	det
47	déficit	NOUN	45	obj
48	considerable	ADJ	47	amod
49	.	PUNCT	10	punct