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:
Après Sciences Po Paris (1976-1979), dont il sort diplômé, Thierry Coudert intègre la promotion Louise Michel de l'ENA (1982-1984).
Postion	Tokenization
1	Après
2	Sciences
3	Po
4	Paris
5	(
6	1976-1979
7	)
8	,
9	dont
10	il
11	sort
12	diplômé
13	,
14	Thierry
15	Coudert
16	intègre
17	la
18	promotion
19	Louise
20	Michel
21	de
22	l'
23	ENA
24	(
25	1982-1984
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	2	case
2	Sciences	PROPN	16	obl:mod
3	Po	PROPN	2	flat:name
4	Paris	PROPN	3	flat:name
5	(	PUNCT	6	punct
6	1976-1979	NUM	2	nmod
7	)	PUNCT	6	punct
8	,	PUNCT	11	punct
9	dont	PRON	11	obl:arg
10	il	PRON	11	nsubj
11	sort	VERB	2	acl:relcl
12	diplômé	ADJ	11	xcomp:pred
13	,	PUNCT	11	punct
14	Thierry	PROPN	16	nsubj
15	Coudert	PROPN	14	flat:name
16	intègre	VERB	0	root
17	la	DET	18	det
18	promotion	NOUN	16	obj
19	Louise	PROPN	18	appos
20	Michel	PROPN	19	flat:name
21	de	ADP	23	case
22	l'	DET	23	det
23	ENA	PROPN	18	nmod
24	(	PUNCT	25	punct
25	1982-1984	NUM	16	obl:mod
26	)	PUNCT	25	punct
27	.	PUNCT	16	punct