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:
Desde el punto de vista industrial, explicó, Citroen cuenta con una fábrica en Buenos Aires y otra en construcción en Brasil que empezará a producir en el 2001 modelos Picasso y 206.
Postion	Tokenization
1	Desde
2	el
3	punto
4	de
5	vista
6	industrial
7	,
8	explicó
9	,
10	Citroen
11	cuenta
12	con
13	una
14	fábrica
15	en
16	Buenos
17	Aires
18	y
19	otra
20	en
21	construcción
22	en
23	Brasil
24	que
25	empezará
26	a
27	producir
28	en
29	el
30	2001
31	modelos
32	Picasso
33	y
34	206
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	punto	NOUN	11	obl
4	de	ADP	5	case
5	vista	NOUN	3	nmod
6	industrial	ADJ	3	amod
7	,	PUNCT	8	punct
8	explicó	VERB	11	parataxis
9	,	PUNCT	8	punct
10	Citroen	PROPN	11	nsubj
11	cuenta	VERB	0	root
12	con	ADP	14	case
13	una	DET	14	det
14	fábrica	NOUN	11	obj
15	en	ADP	16	case
16	Buenos	PROPN	14	nmod
17	Aires	PROPN	16	flat
18	y	CCONJ	19	cc
19	otra	PRON	14	conj
20	en	ADP	21	case
21	construcción	NOUN	19	nmod
22	en	ADP	23	case
23	Brasil	PROPN	19	nmod
24	que	PRON	25	nsubj
25	empezará	VERB	19	acl
26	a	ADP	27	mark
27	producir	VERB	25	xcomp
28	en	ADP	30	case
29	el	DET	30	det
30	2001	NOUN	25	obl
31	modelos	NOUN	27	obj
32	Picasso	PROPN	31	appos
33	y	CCONJ	34	cc
34	206	PROPN	32	conj
35	.	PUNCT	11	punct