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:
Un autre phénomène s'ajouta au succès de la société : plusieurs dizaines de doom-likes furent basés sur le moteur graphique de leur modèle et id Software commença à vendre des licences de ses technologies.
Postion	Tokenization
1	Un
2	autre
3	phénomène
4	s'
5	ajouta
6	au
7	à
8	le
9	succès
10	de
11	la
12	société
13	:
14	plusieurs
15	dizaines
16	de
17	doom-likes
18	furent
19	basés
20	sur
21	le
22	moteur
23	graphique
24	de
25	leur
26	modèle
27	et
28	id
29	Software
30	commença
31	à
32	vendre
33	des
34	licences
35	de
36	ses
37	technologies
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	3	det
2	autre	ADJ	3	amod
3	phénomène	NOUN	5	nsubj:pass
4	s'	PRON	5	expl:pass
5	ajouta	VERB	0	root
6	au	_	None	_
7	à	ADP	8	case
8	le	DET	8	det
9	succès	NOUN	5	obl:arg
10	de	ADP	11	case
11	la	DET	11	det
12	société	NOUN	8	nmod
13	:	PUNCT	18	punct
14	plusieurs	DET	14	det
15	dizaines	NOUN	18	nsubj:pass
16	de	ADP	16	case
17	doom-likes	NOUN	14	nmod
18	furent	AUX	18	aux:pass
19	basés	VERB	5	parataxis
20	sur	ADP	21	case
21	le	DET	21	det
22	moteur	NOUN	18	obl:mod
23	graphique	ADJ	21	amod
24	de	ADP	25	case
25	leur	DET	25	det
26	modèle	NOUN	21	nmod
27	et	CCONJ	29	cc
28	id	X	28	nmod
29	Software	PROPN	29	nsubj
30	commença	VERB	18	conj
31	à	ADP	31	mark
32	vendre	VERB	29	xcomp:obl
33	des	DET	33	det
34	licences	NOUN	31	obj
35	de	ADP	36	case
36	ses	DET	36	det
37	technologies	NOUN	33	nmod
38	.	PUNCT	5	punct