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:
En cuanto al sector industrial, dijo: "Las empresas sólo piensan en el ahora, pero olvidan que no invertir en innovación puede suponer cerrar en un futuro".
Postion	Tokenization
1	En
2	cuanto
3	al
4	sector
5	industrial
6	,
7	dijo
8	:
9	"
10	Las
11	empresas
12	sólo
13	piensan
14	en
15	el
16	ahora
17	,
18	pero
19	olvidan
20	que
21	no
22	invertir
23	en
24	innovación
25	puede
26	suponer
27	cerrar
28	en
29	un
30	futuro
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	cuanto	NOUN	1	fixed
3	al	ADP	1	fixed
4	sector	NOUN	7	obl
5	industrial	ADJ	4	amod
6	,	PUNCT	4	punct
7	dijo	VERB	0	root
8	:	PUNCT	13	punct
9	"	PUNCT	13	punct
10	Las	DET	11	det
11	empresas	NOUN	13	nsubj
12	sólo	ADV	13	advmod
13	piensan	VERB	7	ccomp
14	en	ADP	16	case
15	el	DET	16	det
16	ahora	ADV	13	obj
17	,	PUNCT	19	punct
18	pero	CCONJ	19	cc
19	olvidan	VERB	13	conj
20	que	SCONJ	26	mark
21	no	ADV	22	advmod
22	invertir	VERB	26	csubj
23	en	ADP	24	case
24	innovación	NOUN	22	obj
25	puede	AUX	26	aux
26	suponer	VERB	19	xcomp
27	cerrar	VERB	26	xcomp
28	en	ADP	30	case
29	un	DET	30	det
30	futuro	NOUN	27	obl
31	"	PUNCT	13	punct
32	.	PUNCT	7	punct