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 est diplômé en économie et relations internationales de l'université hébraïque de Jérusalem et titulaire d'un doctorat de sciences politiques obtenu à l'Institut d'études politiques de Paris.
Postion	Tokenization
1	Il
2	est
3	diplômé
4	en
5	économie
6	et
7	relations
8	internationales
9	de
10	l'
11	université
12	hébraïque
13	de
14	Jérusalem
15	et
16	titulaire
17	d'
18	un
19	doctorat
20	de
21	sciences
22	politiques
23	obtenu
24	à
25	l'
26	Institut
27	d'
28	études
29	politiques
30	de
31	Paris
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	est	AUX	3	cop
3	diplômé	NOUN	0	root
4	en	ADP	5	case
5	économie	NOUN	3	nmod
6	et	CCONJ	7	cc
7	relations	NOUN	5	conj
8	internationales	ADJ	7	amod
9	de	ADP	11	case
10	l'	DET	11	det
11	université	NOUN	3	nmod
12	hébraïque	ADJ	11	amod
13	de	ADP	14	case
14	Jérusalem	PROPN	11	nmod
15	et	CCONJ	16	cc
16	titulaire	NOUN	3	conj
17	d'	ADP	19	case
18	un	DET	19	det
19	doctorat	NOUN	16	nmod
20	de	ADP	21	case
21	sciences	NOUN	19	nmod
22	politiques	ADJ	21	amod
23	obtenu	VERB	19	acl
24	à	ADP	26	case
25	l'	DET	26	det
26	Institut	NOUN	23	obl:mod
27	d'	ADP	28	case
28	études	NOUN	26	nmod
29	politiques	ADJ	28	amod
30	de	ADP	31	case
31	Paris	PROPN	26	nmod
32	.	PUNCT	3	punct