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 an plus tard, alors qu'il n'a pas fini ses études de droit civil et canonique, il quitte l'Université sans avoir pris ses grades.
Postion	Tokenization
1	Un
2	an
3	plus
4	tard
5	,
6	alors
7	qu'
8	il
9	n'
10	a
11	pas
12	fini
13	ses
14	études
15	de
16	droit
17	civil
18	et
19	canonique
20	,
21	il
22	quitte
23	l'
24	Université
25	sans
26	avoir
27	pris
28	ses
29	grades
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	an	NOUN	22	obl:mod
3	plus	ADV	4	advmod
4	tard	ADV	2	advmod
5	,	PUNCT	12	punct
6	alors	ADV	12	mark
7	qu'	SCONJ	6	fixed
8	il	PRON	12	nsubj
9	n'	ADV	12	advmod
10	a	AUX	12	aux:tense
11	pas	ADV	12	advmod
12	fini	VERB	2	acl
13	ses	DET	14	det
14	études	NOUN	12	obj
15	de	ADP	16	case
16	droit	NOUN	14	nmod
17	civil	ADJ	16	amod
18	et	CCONJ	19	cc
19	canonique	ADJ	17	conj
20	,	PUNCT	12	punct
21	il	PRON	22	nsubj
22	quitte	VERB	0	root
23	l'	DET	24	det
24	Université	NOUN	22	obj
25	sans	ADP	27	mark
26	avoir	AUX	27	aux:tense
27	pris	VERB	22	advcl
28	ses	DET	29	det
29	grades	NOUN	27	obj
30	.	PUNCT	22	punct