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:
Con estas actuaciones, D'Alema pretende reactivar la ralentizada economía italiana, promover el crecimiento del empleo y reducir el déficit público al 1,5% del producto interior bruto (PIB).
Postion	Tokenization
1	Con
2	estas
3	actuaciones
4	,
5	D'Alema
6	pretende
7	reactivar
8	la
9	ralentizada
10	economía
11	italiana
12	,
13	promover
14	el
15	crecimiento
16	del
17	empleo
18	y
19	reducir
20	el
21	déficit
22	público
23	al
24	1,5%
25	del
26	producto
27	interior
28	bruto
29	(
30	PIB
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	estas	DET	3	det
3	actuaciones	NOUN	6	obl
4	,	PUNCT	3	punct
5	D'Alema	PROPN	6	nsubj
6	pretende	VERB	0	root
7	reactivar	VERB	6	xcomp
8	la	DET	10	det
9	ralentizada	ADJ	10	amod
10	economía	NOUN	7	obj
11	italiana	ADJ	10	amod
12	,	PUNCT	13	punct
13	promover	VERB	7	advcl
14	el	DET	15	det
15	crecimiento	NOUN	13	obj
16	del	ADP	17	case
17	empleo	NOUN	15	nmod
18	y	CCONJ	19	cc
19	reducir	VERB	7	conj
20	el	DET	21	det
21	déficit	NOUN	19	obj
22	público	ADJ	21	amod
23	al	ADP	24	case
24	1,5%	SYM	19	obl
25	del	ADP	26	case
26	producto	NOUN	24	nmod
27	interior	ADJ	26	amod
28	bruto	ADJ	26	amod
29	(	PUNCT	30	punct
30	PIB	PROPN	26	appos
31	)	PUNCT	30	punct
32	.	PUNCT	6	punct