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:
Il entre ensuite comme professeur d'histoire-géographie au collège de Chambéry qu'il participe à faire devenir une École normale.
Postion	Tokenization
1	Il
2	entre
3	ensuite
4	comme
5	professeur
6	d'
7	histoire-géographie
8	au
9	à
10	le
11	collège
12	de
13	Chambéry
14	qu'
15	il
16	participe
17	à
18	faire
19	devenir
20	une
21	École
22	normale
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	entre	VERB	0	root
3	ensuite	ADV	2	advmod
4	comme	ADP	5	case
5	professeur	NOUN	2	obl:mod
6	d'	ADP	7	case
7	histoire-géographie	NOUN	5	nmod
8	au	_	None	_
9	à	ADP	10	case
10	le	DET	10	det
11	collège	NOUN	2	obl:mod
12	de	ADP	12	case
13	Chambéry	PROPN	10	nmod
14	qu'	PRON	18	obj
15	il	PRON	15	nsubj
16	participe	VERB	10	acl:relcl
17	à	ADP	18	mark
18	faire	AUX	18	aux:caus
19	devenir	VERB	15	xcomp:obl
20	une	DET	20	det
21	École	NOUN	18	xcomp:pred
22	normale	ADJ	20	amod
23	.	PUNCT	2	punct