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:
Ses bâtiments de la route de Tarascon furent alors occupés par l'Institut universitaire de formation des maîtres (IUFM) d'Avignon créé suite à la loi Jospin de 1989.
Postion	Tokenization
1	Ses
2	bâtiments
3	de
4	la
5	route
6	de
7	Tarascon
8	furent
9	alors
10	occupés
11	par
12	l'
13	Institut
14	universitaire
15	de
16	formation
17	des
18	de
19	les
20	maîtres
21	(
22	IUFM
23	)
24	d'
25	Avignon
26	créé
27	suite
28	à
29	la
30	loi
31	Jospin
32	de
33	1989
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	2	det
2	bâtiments	NOUN	10	nsubj:pass
3	de	ADP	5	case
4	la	DET	5	det
5	route	NOUN	2	nmod
6	de	ADP	7	case
7	Tarascon	PROPN	5	nmod
8	furent	AUX	10	aux:pass
9	alors	ADV	10	advmod
10	occupés	VERB	0	root
11	par	ADP	13	case
12	l'	DET	13	det
13	Institut	NOUN	10	obl:agent
14	universitaire	ADJ	13	amod
15	de	ADP	16	case
16	formation	NOUN	13	nmod
17	des	_	None	_
18	de	ADP	19	case
19	les	DET	19	det
20	maîtres	NOUN	16	nmod
21	(	PUNCT	21	punct
22	IUFM	PROPN	13	appos
23	)	PUNCT	21	punct
24	d'	ADP	24	case
25	Avignon	PROPN	13	nmod
26	créé	VERB	13	acl
27	suite	NOUN	29	case
28	à	ADP	26	fixed
29	la	DET	29	det
30	loi	NOUN	25	obl:mod
31	Jospin	PROPN	29	appos
32	de	ADP	32	case
33	1989	NUM	29	nmod
34	.	PUNCT	10	punct