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:
De llevarse a cabo, la fusión creará una sociedad con ingresos combinados de 12.400 millones de dólares mientras que los beneficios económicos inmediatos supondrán al menos un ahorro de 150 millones de dólares.
Postion	Tokenization
1	De
2	llevarse
3	llevar
4	se
5	a
6	cabo
7	,
8	la
9	fusión
10	creará
11	una
12	sociedad
13	con
14	ingresos
15	combinados
16	de
17	12.400
18	millones
19	de
20	dólares
21	mientras
22	que
23	los
24	beneficios
25	económicos
26	inmediatos
27	supondrán
28	al
29	menos
30	un
31	ahorro
32	de
33	150
34	millones
35	de
36	dólares
37	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	2	mark
2	llevarse	_	None	_
3	llevar	VERB	9	advcl
4	se	PRON	2	expl:pass
5	a	ADP	5	case
6	cabo	NOUN	2	compound
7	,	PUNCT	2	punct
8	la	DET	8	det
9	fusión	NOUN	9	nsubj
10	creará	VERB	0	root
11	una	DET	11	det
12	sociedad	NOUN	9	obj
13	con	ADP	13	case
14	ingresos	NOUN	11	nmod
15	combinados	ADJ	13	amod
16	de	ADP	17	case
17	12.400	NUM	17	nummod
18	millones	NOUN	13	nmod
19	de	ADP	19	case
20	dólares	NOUN	17	nmod
21	mientras	ADV	9	advmod
22	que	SCONJ	26	mark
23	los	DET	23	det
24	beneficios	NOUN	26	nsubj
25	económicos	ADJ	23	amod
26	inmediatos	ADJ	23	amod
27	supondrán	VERB	20	advcl
28	al	ADP	30	advmod
29	menos	ADV	27	fixed
30	un	DET	30	det
31	ahorro	NOUN	26	obj
32	de	ADP	33	case
33	150	NUM	33	nummod
34	millones	NOUN	30	nmod
35	de	ADP	35	case
36	dólares	NOUN	33	nmod
37	.	PUNCT	9	punct