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 diseñador de moda orensano Roberto Verino no descarta aceptar una oferta para establecer su centro de producción en Madrid, ante las dificultades que encuentra en materia de incentivos para desarrollar nuevos proyectos.
Postion	Tokenization
1	El
2	diseñador
3	de
4	moda
5	orensano
6	Roberto
7	Verino
8	no
9	descarta
10	aceptar
11	una
12	oferta
13	para
14	establecer
15	su
16	centro
17	de
18	producción
19	en
20	Madrid
21	,
22	ante
23	las
24	dificultades
25	que
26	encuentra
27	en
28	materia
29	de
30	incentivos
31	para
32	desarrollar
33	nuevos
34	proyectos
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diseñador	NOUN	9	nsubj
3	de	ADP	4	case
4	moda	NOUN	2	nmod
5	orensano	ADJ	2	amod
6	Roberto	PROPN	2	appos
7	Verino	PROPN	6	flat
8	no	ADV	9	advmod
9	descarta	VERB	0	root
10	aceptar	VERB	9	xcomp
11	una	DET	12	det
12	oferta	NOUN	10	obj
13	para	ADP	14	mark
14	establecer	VERB	12	acl
15	su	DET	16	det
16	centro	NOUN	14	obj
17	de	ADP	18	case
18	producción	NOUN	16	nmod
19	en	ADP	20	case
20	Madrid	PROPN	14	obl
21	,	PUNCT	24	punct
22	ante	ADP	24	case
23	las	DET	24	det
24	dificultades	NOUN	9	obl
25	que	PRON	26	obj
26	encuentra	VERB	24	acl
27	en	ADP	30	case
28	materia	NOUN	27	fixed
29	de	ADP	27	fixed
30	incentivos	NOUN	26	obl
31	para	ADP	32	mark
32	desarrollar	VERB	30	acl
33	nuevos	ADJ	34	amod
34	proyectos	NOUN	32	obj
35	.	PUNCT	9	punct