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:
Campofrío materializó el pasado mes de marzo la compra del 87 por ciento de OMSA Alimentación, empresa de elaborados cárnicos con sede en Valencia.
Postion	Tokenization
1	Campofrío
2	materializó
3	el
4	pasado
5	mes
6	de
7	marzo
8	la
9	compra
10	del
11	87
12	por
13	ciento
14	de
15	OMSA
16	Alimentación
17	,
18	empresa
19	de
20	elaborados
21	cárnicos
22	con
23	sede
24	en
25	Valencia
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Campofrío	PROPN	2	nsubj
2	materializó	VERB	0	root
3	el	DET	4	det
4	pasado	NOUN	2	obl
5	mes	NOUN	4	compound
6	de	ADP	7	case
7	marzo	NOUN	4	compound
8	la	DET	9	det
9	compra	NOUN	2	obj
10	del	ADP	11	case
11	87	NUM	9	nummod
12	por	ADP	13	case
13	ciento	NUM	11	compound
14	de	ADP	15	case
15	OMSA	PROPN	11	nmod
16	Alimentación	PROPN	15	flat
17	,	PUNCT	18	punct
18	empresa	NOUN	15	appos
19	de	ADP	20	case
20	elaborados	ADJ	18	amod
21	cárnicos	ADJ	20	amod
22	con	ADP	23	case
23	sede	NOUN	18	nmod
24	en	ADP	25	case
25	Valencia	PROPN	23	nmod
26	.	PUNCT	2	punct