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:
L'université Politehnica comprend 13 facultés avec une durée d'études de 4 ans pour obtenir le diplôme d'ingénieur et 2 ans en plus pour le diplôme de master.
Postion	Tokenization
1	L'
2	université
3	Politehnica
4	comprend
5	13
6	facultés
7	avec
8	une
9	durée
10	d'
11	études
12	de
13	4
14	ans
15	pour
16	obtenir
17	le
18	diplôme
19	d'
20	ingénieur
21	et
22	2
23	ans
24	en
25	plus
26	pour
27	le
28	diplôme
29	de
30	master
31	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	université	NOUN	4	nsubj
3	Politehnica	PROPN	2	appos
4	comprend	VERB	0	root
5	13	NUM	6	nummod
6	facultés	NOUN	4	obj
7	avec	ADP	9	case
8	une	DET	9	det
9	durée	NOUN	4	obl:mod
10	d'	ADP	11	case
11	études	NOUN	9	nmod
12	de	ADP	14	case
13	4	NUM	14	nummod
14	ans	NOUN	9	nmod
15	pour	ADP	16	mark
16	obtenir	VERB	9	acl
17	le	DET	18	det
18	diplôme	NOUN	16	obj
19	d'	ADP	20	case
20	ingénieur	NOUN	18	nmod
21	et	CCONJ	23	cc
22	2	NUM	23	nummod
23	ans	NOUN	9	conj
24	en	ADP	23	advmod
25	plus	ADV	24	fixed
26	pour	ADP	28	case
27	le	DET	28	det
28	diplôme	NOUN	23	orphan
29	de	ADP	30	case
30	master	NOUN	28	nmod
31	.	PUNCT	4	punct