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:
El grupo resultante de la compra de la empresa cárnica Navidul por Campofrío facturará 250.000 millones de pesetas y logrará un cash-flow de 20.000 millones, según un comunicado conjunto de ambas compañías.
Postion	Tokenization
1	El
2	grupo
3	resultante
4	de
5	la
6	compra
7	de
8	la
9	empresa
10	cárnica
11	Navidul
12	por
13	Campofrío
14	facturará
15	250.000
16	millones
17	de
18	pesetas
19	y
20	logrará
21	un
22	cash-flow
23	de
24	20.000
25	millones
26	,
27	según
28	un
29	comunicado
30	conjunto
31	de
32	ambas
33	compañías
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	grupo	NOUN	14	nsubj
3	resultante	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	compra	NOUN	3	nmod
7	de	ADP	9	case
8	la	DET	9	det
9	empresa	NOUN	6	nmod
10	cárnica	ADJ	9	amod
11	Navidul	PROPN	9	appos
12	por	ADP	13	case
13	Campofrío	PROPN	6	nmod
14	facturará	VERB	0	root
15	250.000	NUM	16	nummod
16	millones	NOUN	14	obj
17	de	ADP	18	case
18	pesetas	NOUN	16	nmod
19	y	CCONJ	20	cc
20	logrará	VERB	14	conj
21	un	DET	22	det
22	cash-flow	NOUN	20	obj
23	de	ADP	25	case
24	20.000	NUM	25	nummod
25	millones	NOUN	22	nmod
26	,	PUNCT	29	punct
27	según	ADP	29	case
28	un	DET	29	det
29	comunicado	NOUN	14	obl
30	conjunto	ADJ	29	amod
31	de	ADP	33	case
32	ambas	NUM	33	nummod
33	compañías	NOUN	29	nmod
34	.	PUNCT	14	punct