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 intervient toujours dans les Masters « Stratégies territoriales et urbaines » à Sciences-Po Paris et « Maîtrise d'ouvrage publique des projets urbains » de l'Institut d'urbanisme de Paris.
Postion	Tokenization
1	Il
2	intervient
3	toujours
4	dans
5	les
6	Masters
7	«
8	Stratégies
9	territoriales
10	et
11	urbaines
12	»
13	à
14	Sciences-Po
15	Paris
16	et
17	«
18	Maîtrise
19	d'
20	ouvrage
21	publique
22	des
23	de
24	les
25	projets
26	urbains
27	»
28	de
29	l'
30	Institut
31	d'
32	urbanisme
33	de
34	Paris
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	intervient	VERB	0	root
3	toujours	ADV	2	advmod
4	dans	ADP	6	case
5	les	DET	6	det
6	Masters	PROPN	2	obl:arg
7	«	PUNCT	8	punct
8	Stratégies	PROPN	6	appos
9	territoriales	ADJ	8	amod
10	et	CCONJ	11	cc
11	urbaines	ADJ	9	conj
12	»	PUNCT	8	punct
13	à	ADP	14	case
14	Sciences-Po	PROPN	8	nmod
15	Paris	PROPN	14	nmod
16	et	CCONJ	18	cc
17	«	PUNCT	18	punct
18	Maîtrise	PROPN	8	conj
19	d'	ADP	20	case
20	ouvrage	NOUN	18	nmod
21	publique	ADJ	18	amod
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	projets	NOUN	18	nmod
26	urbains	ADJ	24	amod
27	»	PUNCT	18	punct
28	de	ADP	29	case
29	l'	DET	29	det
30	Institut	NOUN	18	nmod
31	d'	ADP	31	case
32	urbanisme	NOUN	29	nmod
33	de	ADP	33	case
34	Paris	PROPN	29	nmod
35	.	PUNCT	2	punct