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:
Par la suite, des logiciels comme Macromedia FreeHand, QuarkXPress, Adobe Photoshop et Adobe Illustrator renforcent la position du Mac comme machine d'infographie et permettent d'étendre le marché de la PAO.
Postion	Tokenization
1	Par
2	la
3	suite
4	,
5	des
6	logiciels
7	comme
8	Macromedia
9	FreeHand
10	,
11	QuarkXPress
12	,
13	Adobe
14	Photoshop
15	et
16	Adobe
17	Illustrator
18	renforcent
19	la
20	position
21	du
22	de
23	le
24	Mac
25	comme
26	machine
27	d'
28	infographie
29	et
30	permettent
31	d'
32	étendre
33	le
34	marché
35	de
36	la
37	PAO
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	3	case
2	la	DET	3	det
3	suite	NOUN	18	obl:mod
4	,	PUNCT	3	punct
5	des	DET	6	det
6	logiciels	NOUN	18	nsubj
7	comme	ADP	8	case
8	Macromedia	PROPN	6	nmod
9	FreeHand	PROPN	8	flat:name
10	,	PUNCT	11	punct
11	QuarkXPress	PROPN	8	conj
12	,	PUNCT	13	punct
13	Adobe	PROPN	8	conj
14	Photoshop	PROPN	13	flat:name
15	et	CCONJ	16	cc
16	Adobe	PROPN	8	conj
17	Illustrator	PROPN	16	flat:name
18	renforcent	VERB	0	root
19	la	DET	20	det
20	position	NOUN	18	obj
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	Mac	PROPN	20	nmod
25	comme	ADP	25	case
26	machine	NOUN	20	nmod
27	d'	ADP	27	case
28	infographie	NOUN	25	nmod
29	et	CCONJ	29	cc
30	permettent	VERB	18	conj
31	d'	ADP	31	mark
32	étendre	VERB	29	xcomp:obj
33	le	DET	33	det
34	marché	NOUN	31	obj
35	de	ADP	36	case
36	la	DET	36	det
37	PAO	PROPN	33	nmod
38	.	PUNCT	18	punct