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 fusión de las divisiones de ciencias de la vida significará unos ahorros de unos 171.600 millones de pesetas durante los próximos tres años.
Postion	Tokenization
1	La
2	fusión
3	de
4	las
5	divisiones
6	de
7	ciencias
8	de
9	la
10	vida
11	significará
12	unos
13	ahorros
14	de
15	unos
16	171.600
17	millones
18	de
19	pesetas
20	durante
21	los
22	próximos
23	tres
24	años
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	fusión	NOUN	11	nsubj
3	de	ADP	5	case
4	las	DET	5	det
5	divisiones	NOUN	2	nmod
6	de	ADP	7	case
7	ciencias	NOUN	5	nmod
8	de	ADP	10	case
9	la	DET	10	det
10	vida	NOUN	7	nmod
11	significará	VERB	0	root
12	unos	DET	13	det
13	ahorros	NOUN	11	obj
14	de	ADP	17	case
15	unos	PRON	16	nmod
16	171.600	NUM	17	nummod
17	millones	NOUN	13	nmod
18	de	ADP	19	case
19	pesetas	NOUN	17	nmod
20	durante	ADP	24	case
21	los	DET	24	det
22	próximos	ADJ	21	amod
23	tres	NUM	21	nummod
24	años	NOUN	11	obl
25	.	PUNCT	11	punct