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:
A finales de los 70 acabó como director de una empresa del sector químico con intereses muy diversos: desde la cosmética a la fabricación de piensos para la industria alimentaria.
Postion	Tokenization
1	A
2	finales
3	de
4	los
5	70
6	acabó
7	como
8	director
9	de
10	una
11	empresa
12	del
13	sector
14	químico
15	con
16	intereses
17	muy
18	diversos
19	:
20	desde
21	la
22	cosmética
23	a
24	la
25	fabricación
26	de
27	piensos
28	para
29	la
30	industria
31	alimentaria
32	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	case
2	finales	NOUN	6	obl
3	de	ADP	5	case
4	los	DET	5	det
5	70	NUM	2	nummod
6	acabó	VERB	0	root
7	como	SCONJ	8	mark
8	director	NOUN	6	obj
9	de	ADP	11	case
10	una	DET	11	det
11	empresa	NOUN	8	nmod
12	del	ADP	13	case
13	sector	NOUN	11	nmod
14	químico	ADJ	13	amod
15	con	ADP	16	case
16	intereses	NOUN	11	nmod
17	muy	ADV	18	advmod
18	diversos	ADJ	16	amod
19	:	PUNCT	22	punct
20	desde	ADP	22	case
21	la	DET	22	det
22	cosmética	NOUN	18	appos
23	a	ADP	25	cc
24	la	DET	25	det
25	fabricación	NOUN	22	conj
26	de	ADP	27	case
27	piensos	NOUN	25	nmod
28	para	ADP	30	case
29	la	DET	30	det
30	industria	NOUN	27	nmod
31	alimentaria	ADJ	30	amod
32	.	PUNCT	6	punct