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:
A tel point que l'auteur, Michel Faure, en conclut : "Il dirigera la campagne d'Edouard Balladur dès que le Premier ministre s'engagera dans la course à l'Elysée."
Postion	Tokenization
1	A
2	tel
3	point
4	que
5	l'
6	auteur
7	,
8	Michel
9	Faure
10	,
11	en
12	conclut
13	:
14	"
15	Il
16	dirigera
17	la
18	campagne
19	d'
20	Edouard
21	Balladur
22	dès
23	que
24	le
25	Premier
26	ministre
27	s'
28	engagera
29	dans
30	la
31	course
32	à
33	l'
34	Elysée
35	.
36	"
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	tel	DET	3	det
3	point	NOUN	0	root
4	que	SCONJ	12	mark
5	l'	DET	6	det
6	auteur	NOUN	12	nsubj
7	,	PUNCT	8	punct
8	Michel	PROPN	6	appos
9	Faure	PROPN	8	flat:name
10	,	PUNCT	8	punct
11	en	PRON	12	obl:arg
12	conclut	VERB	2	ccomp:obj
13	:	PUNCT	16	punct
14	"	PUNCT	16	punct
15	Il	PRON	16	nsubj
16	dirigera	VERB	12	ccomp:obj
17	la	DET	18	det
18	campagne	NOUN	16	obj
19	d'	ADP	20	case
20	Edouard	PROPN	18	nmod
21	Balladur	PROPN	20	flat:name
22	dès	ADP	28	mark
23	que	SCONJ	28	mark
24	le	DET	26	det
25	Premier	ADJ	26	amod
26	ministre	NOUN	28	nsubj
27	s'	PRON	28	obj
28	engagera	VERB	16	advcl
29	dans	ADP	31	case
30	la	DET	31	det
31	course	NOUN	28	obl:arg
32	à	ADP	34	case
33	l'	DET	34	det
34	Elysée	PROPN	31	nmod
35	.	PUNCT	16	punct
36	"	PUNCT	16	punct