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, il enseigne à l'université du Michigan où il obtient son habilitation en 1966 (thèse intitulée : « Le concept de vérité chez Husserl et Heidegger »).
Postion	Tokenization
1	Par
2	la
3	suite
4	,
5	il
6	enseigne
7	à
8	l'
9	université
10	du
11	de
12	le
13	Michigan
14	où
15	il
16	obtient
17	son
18	habilitation
19	en
20	1966
21	(
22	thèse
23	intitulée
24	:
25	«
26	Le
27	concept
28	de
29	vérité
30	chez
31	Husserl
32	et
33	Heidegger
34	»
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	3	case
2	la	DET	3	det
3	suite	NOUN	6	obl:mod
4	,	PUNCT	3	punct
5	il	PRON	6	nsubj
6	enseigne	VERB	0	root
7	à	ADP	9	case
8	l'	DET	9	det
9	université	NOUN	6	obl:mod
10	du	_	None	_
11	de	ADP	12	case
12	le	DET	12	det
13	Michigan	PROPN	9	nmod
14	où	ADV	15	advmod
15	il	PRON	15	nsubj
16	obtient	VERB	9	acl:relcl
17	son	DET	17	det
18	habilitation	NOUN	15	obj
19	en	ADP	19	case
20	1966	NUM	15	obl:mod
21	(	PUNCT	21	punct
22	thèse	NOUN	15	parataxis
23	intitulée	VERB	21	acl
24	:	PUNCT	26	punct
25	«	PUNCT	26	punct
26	Le	DET	26	det
27	concept	NOUN	21	appos
28	de	ADP	28	case
29	vérité	NOUN	26	nmod
30	chez	ADP	30	case
31	Husserl	PROPN	26	nmod
32	et	CCONJ	32	cc
33	Heidegger	PROPN	30	conj
34	»	PUNCT	26	punct
35	)	PUNCT	21	punct
36	.	PUNCT	6	punct