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 texto señala que la operación refuerza su liderazgo en el mercado cárnico español y convierte a Campofrío en el tercer operador de este sector en Europa.
Postion	Tokenization
1	El
2	texto
3	señala
4	que
5	la
6	operación
7	refuerza
8	su
9	liderazgo
10	en
11	el
12	mercado
13	cárnico
14	español
15	y
16	convierte
17	a
18	Campofrío
19	en
20	el
21	tercer
22	operador
23	de
24	este
25	sector
26	en
27	Europa
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	texto	NOUN	3	nsubj
3	señala	VERB	0	root
4	que	SCONJ	7	mark
5	la	DET	6	det
6	operación	NOUN	7	nsubj
7	refuerza	VERB	3	ccomp
8	su	DET	9	det
9	liderazgo	NOUN	7	obj
10	en	ADP	12	case
11	el	DET	12	det
12	mercado	NOUN	9	nmod
13	cárnico	ADJ	12	amod
14	español	ADJ	12	amod
15	y	CCONJ	16	cc
16	convierte	VERB	3	conj
17	a	ADP	18	case
18	Campofrío	PROPN	16	obj
19	en	ADP	22	case
20	el	DET	22	det
21	tercer	ADJ	22	amod
22	operador	NOUN	16	obj
23	de	ADP	25	case
24	este	DET	25	det
25	sector	NOUN	22	nmod
26	en	ADP	27	case
27	Europa	PROPN	22	nmod
28	.	PUNCT	3	punct