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:
Lors de la présentation du spot en 1983, Steve Jobs met en rapport le Big brother d'Orwell et la tentative d'IBM (selon Jobs) de dominer l'industrie informatique.
Postion	Tokenization
1	Lors
2	de
3	la
4	présentation
5	du
6	de
7	le
8	spot
9	en
10	1983
11	,
12	Steve
13	Jobs
14	met
15	en
16	rapport
17	le
18	Big
19	brother
20	d'
21	Orwell
22	et
23	la
24	tentative
25	d'
26	IBM
27	(
28	selon
29	Jobs
30	)
31	de
32	dominer
33	l'
34	industrie
35	informatique
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	13	advmod
2	de	ADP	4	case
3	la	DET	4	det
4	présentation	NOUN	1	obl:arg
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	spot	NOUN	4	nmod
9	en	ADP	9	case
10	1983	NUM	4	nmod
11	,	PUNCT	1	punct
12	Steve	PROPN	13	nsubj
13	Jobs	PROPN	11	flat:name
14	met	VERB	0	root
15	en	ADP	15	case
16	rapport	NOUN	13	obl:mod
17	le	DET	17	det
18	Big	X	13	obj
19	brother	X	17	flat:name
20	d'	ADP	20	case
21	Orwell	PROPN	17	nmod
22	et	CCONJ	23	cc
23	la	DET	23	det
24	tentative	NOUN	17	conj
25	d'	ADP	25	case
26	IBM	PROPN	23	nmod
27	(	PUNCT	28	punct
28	selon	ADP	28	case
29	Jobs	PROPN	23	nmod
30	)	PUNCT	28	punct
31	de	ADP	31	mark
32	dominer	VERB	23	acl
33	l'	DET	33	det
34	industrie	NOUN	31	obj
35	informatique	ADJ	33	amod
36	.	PUNCT	13	punct