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:
También dijo que el Govern hará un "esfuerzo especial" en inversión, que crecerá al menos como el producto interior bruto (PIB) nominal, el 6,1%, el 3,9% real (restada la inflación).
Postion	Tokenization
1	También
2	dijo
3	que
4	el
5	Govern
6	hará
7	un
8	"
9	esfuerzo
10	especial
11	"
12	en
13	inversión
14	,
15	que
16	crecerá
17	al
18	menos
19	como
20	el
21	producto
22	interior
23	bruto
24	(
25	PIB
26	)
27	nominal
28	,
29	el
30	6,1%
31	,
32	el
33	3,9%
34	real
35	(
36	restada
37	la
38	inflación
39	)
40	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	dijo	VERB	0	root
3	que	SCONJ	6	mark
4	el	DET	5	det
5	Govern	PROPN	6	nsubj
6	hará	VERB	2	ccomp
7	un	DET	9	det
8	"	PUNCT	9	punct
9	esfuerzo	NOUN	6	obj
10	especial	ADJ	9	amod
11	"	PUNCT	9	punct
12	en	ADP	13	case
13	inversión	NOUN	9	nmod
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	crecerá	VERB	13	acl
17	al	ADP	16	advmod
18	menos	ADV	17	fixed
19	como	SCONJ	17	mark
20	el	DET	21	det
21	producto	NOUN	17	obl
22	interior	ADJ	21	amod
23	bruto	ADJ	21	amod
24	(	PUNCT	25	punct
25	PIB	PROPN	21	appos
26	)	PUNCT	25	punct
27	nominal	ADJ	21	amod
28	,	PUNCT	30	punct
29	el	DET	30	det
30	6,1%	SYM	21	appos
31	,	PUNCT	33	punct
32	el	DET	33	det
33	3,9%	SYM	30	appos
34	real	ADJ	33	amod
35	(	PUNCT	36	punct
36	restada	VERB	33	advcl
37	la	DET	38	det
38	inflación	NOUN	36	nsubj
39	)	PUNCT	36	punct
40	.	PUNCT	2	punct