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 medida reduce el plazo de un año y busca que "tengan el mismo trato si venden a una cooperativa o a cualquier empresa", según Francesc Reverté, presidente de la entidad.
Postion	Tokenization
1	La
2	medida
3	reduce
4	el
5	plazo
6	de
7	un
8	año
9	y
10	busca
11	que
12	"
13	tengan
14	el
15	mismo
16	trato
17	si
18	venden
19	a
20	una
21	cooperativa
22	o
23	a
24	cualquier
25	empresa
26	"
27	,
28	según
29	Francesc
30	Reverté
31	,
32	presidente
33	de
34	la
35	entidad
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	medida	NOUN	3	nsubj
3	reduce	VERB	0	root
4	el	DET	5	det
5	plazo	NOUN	3	obj
6	de	ADP	8	case
7	un	DET	8	det
8	año	NOUN	5	nmod
9	y	CCONJ	10	cc
10	busca	VERB	3	conj
11	que	SCONJ	13	mark
12	"	PUNCT	13	punct
13	tengan	VERB	10	ccomp
14	el	DET	16	det
15	mismo	DET	14	det
16	trato	NOUN	13	obj
17	si	SCONJ	18	mark
18	venden	VERB	13	advcl
19	a	ADP	21	case
20	una	DET	21	det
21	cooperativa	NOUN	18	obj
22	o	CCONJ	25	cc
23	a	ADP	25	case
24	cualquier	DET	25	det
25	empresa	NOUN	18	conj
26	"	PUNCT	13	punct
27	,	PUNCT	29	punct
28	según	ADP	29	case
29	Francesc	PROPN	10	obl
30	Reverté	PROPN	29	flat
31	,	PUNCT	32	punct
32	presidente	NOUN	29	appos
33	de	ADP	35	case
34	la	DET	35	det
35	entidad	NOUN	32	nmod
36	.	PUNCT	3	punct