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:
Asimismo defiende la financiación pública de la investigación básica y pone de manifiesto que las empresas se centran más en la I + D con objetivos de mercado.
Postion	Tokenization
1	Asimismo
2	defiende
3	la
4	financiación
5	pública
6	de
7	la
8	investigación
9	básica
10	y
11	pone
12	de
13	manifiesto
14	que
15	las
16	empresas
17	se
18	centran
19	más
20	en
21	la
22	I
23	+
24	D
25	con
26	objetivos
27	de
28	mercado
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	2	advmod
2	defiende	VERB	0	root
3	la	DET	4	det
4	financiación	NOUN	2	obj
5	pública	ADJ	4	amod
6	de	ADP	8	case
7	la	DET	8	det
8	investigación	NOUN	4	nmod
9	básica	ADJ	8	amod
10	y	CCONJ	11	cc
11	pone	VERB	2	conj
12	de	ADP	13	case
13	manifiesto	NOUN	11	obl
14	que	SCONJ	18	mark
15	las	DET	16	det
16	empresas	NOUN	18	nsubj
17	se	PRON	18	expl:pv
18	centran	VERB	11	ccomp
19	más	ADV	18	obj
20	en	ADP	19	case
21	la	DET	22	det
22	I	CCONJ	19	nmod
23	+	PROPN	22	flat
24	D	PROPN	23	flat
25	con	ADP	26	case
26	objetivos	NOUN	18	obl
27	de	ADP	28	case
28	mercado	NOUN	26	nmod
29	.	PUNCT	2	punct