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:
Après avoir été ingénieur durant quelque temps, suite à ses années de formation, il se tourne ensuite vers le journalisme et plus généralement l'écriture.
Postion	Tokenization
1	Après
2	avoir
3	été
4	ingénieur
5	durant
6	quelque
7	temps
8	,
9	suite
10	à
11	ses
12	années
13	de
14	formation
15	,
16	il
17	se
18	tourne
19	ensuite
20	vers
21	le
22	journalisme
23	et
24	plus
25	généralement
26	l'
27	écriture
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	4	mark
2	avoir	AUX	4	aux:tense
3	été	AUX	4	cop
4	ingénieur	NOUN	18	advcl
5	durant	ADP	7	case
6	quelque	DET	7	det
7	temps	NOUN	4	obl:mod
8	,	PUNCT	12	punct
9	suite	NOUN	12	case
10	à	ADP	9	fixed
11	ses	DET	12	det
12	années	NOUN	4	obl:mod
13	de	ADP	14	case
14	formation	NOUN	12	nmod
15	,	PUNCT	4	punct
16	il	PRON	18	nsubj
17	se	PRON	18	obj
18	tourne	VERB	0	root
19	ensuite	ADV	18	advmod
20	vers	ADP	22	case
21	le	DET	22	det
22	journalisme	NOUN	18	obl:mod
23	et	CCONJ	27	cc
24	plus	ADV	25	advmod
25	généralement	ADV	27	advmod
26	l'	DET	27	det
27	écriture	NOUN	22	conj
28	.	PUNCT	18	punct