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:
La reducción de plantilla de los 54.000 empleos actuales a 44.000 se enmarca en el programa Energy 21, que tiene como objetivo una disminución de los costes del 30% en tres años.
Postion	Tokenization
1	La
2	reducción
3	de
4	plantilla
5	de
6	los
7	54.000
8	empleos
9	actuales
10	a
11	44.000
12	se
13	enmarca
14	en
15	el
16	programa
17	Energy
18	21
19	,
20	que
21	tiene
22	como
23	objetivo
24	una
25	disminución
26	de
27	los
28	costes
29	del
30	30%
31	en
32	tres
33	años
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	reducción	NOUN	13	nsubj
3	de	ADP	4	case
4	plantilla	NOUN	2	nmod
5	de	ADP	8	case
6	los	DET	7	det
7	54.000	NUM	8	nummod
8	empleos	NOUN	4	nmod
9	actuales	ADJ	8	amod
10	a	ADP	11	case
11	44.000	NUM	2	nummod
12	se	PRON	13	expl:pass
13	enmarca	VERB	0	root
14	en	ADP	16	case
15	el	DET	16	det
16	programa	NOUN	13	obl
17	Energy	PROPN	16	appos
18	21	NUM	17	nummod
19	,	PUNCT	21	punct
20	que	PRON	21	nsubj
21	tiene	VERB	16	acl
22	como	SCONJ	23	mark
23	objetivo	NOUN	21	obj
24	una	DET	25	det
25	disminución	NOUN	21	obj
26	de	ADP	28	case
27	los	DET	28	det
28	costes	NOUN	25	nmod
29	del	ADP	30	case
30	30%	SYM	25	nmod
31	en	ADP	33	case
32	tres	NUM	33	nummod
33	años	NOUN	25	nmod
34	.	PUNCT	13	punct