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 aerolínea belga ha incrementado su previsión inicial de 400 despidos en una plantilla de 11.233 empleados, y busca un ahorro de 115.472 millones de pesetas.
Postion	Tokenization
1	La
2	aerolínea
3	belga
4	ha
5	incrementado
6	su
7	previsión
8	inicial
9	de
10	400
11	despidos
12	en
13	una
14	plantilla
15	de
16	11.233
17	empleados
18	,
19	y
20	busca
21	un
22	ahorro
23	de
24	115.472
25	millones
26	de
27	pesetas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	aerolínea	NOUN	5	nsubj
3	belga	ADJ	2	amod
4	ha	AUX	5	aux
5	incrementado	VERB	0	root
6	su	DET	7	det
7	previsión	NOUN	5	obj
8	inicial	ADJ	7	amod
9	de	ADP	11	case
10	400	NUM	11	nummod
11	despidos	NOUN	7	nmod
12	en	ADP	14	case
13	una	DET	14	det
14	plantilla	NOUN	11	nmod
15	de	ADP	17	case
16	11.233	NUM	17	nummod
17	empleados	NOUN	14	nmod
18	,	PUNCT	20	punct
19	y	CCONJ	20	cc
20	busca	VERB	5	conj
21	un	DET	22	det
22	ahorro	NOUN	20	obj
23	de	ADP	25	case
24	115.472	NUM	25	nummod
25	millones	NOUN	22	nmod
26	de	ADP	27	case
27	pesetas	NOUN	25	nmod
28	.	PUNCT	5	punct