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'année 1979, il organise son Concert gratuit du 14 juillet place de la Concorde à Paris et attire un million de spectateurs, sans compter les téléspectateurs puisque le spectacle est diffusé en Eurovision.
Postion	Tokenization
1	L'
2	année
3	1979
4	,
5	il
6	organise
7	son
8	Concert
9	gratuit
10	du
11	de
12	le
13	14
14	juillet
15	place
16	de
17	la
18	Concorde
19	à
20	Paris
21	et
22	attire
23	un
24	million
25	de
26	spectateurs
27	,
28	sans
29	compter
30	les
31	téléspectateurs
32	puisque
33	le
34	spectacle
35	est
36	diffusé
37	en
38	Eurovision
39	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	année	NOUN	6	obl:mod
3	1979	NUM	2	nmod
4	,	PUNCT	2	punct
5	il	PRON	6	nsubj
6	organise	VERB	0	root
7	son	DET	8	det
8	Concert	NOUN	6	obj
9	gratuit	ADJ	8	amod
10	du	_	None	_
11	de	ADP	12	case
12	le	DET	12	det
13	14	NUM	8	nmod
14	juillet	NOUN	12	nmod
15	place	NOUN	6	obl:mod
16	de	ADP	17	case
17	la	DET	17	det
18	Concorde	PROPN	14	nmod
19	à	ADP	19	case
20	Paris	PROPN	14	nmod
21	et	CCONJ	21	cc
22	attire	VERB	6	conj
23	un	NUM	23	nummod
24	million	NOUN	21	obj
25	de	ADP	25	case
26	spectateurs	NOUN	23	nmod
27	,	PUNCT	28	punct
28	sans	ADP	28	mark
29	compter	VERB	21	advcl
30	les	DET	30	det
31	téléspectateurs	NOUN	28	obj
32	puisque	SCONJ	35	mark
33	le	DET	33	det
34	spectacle	NOUN	35	nsubj:pass
35	est	AUX	35	aux:pass
36	diffusé	VERB	28	advcl
37	en	ADP	37	case
38	Eurovision	PROPN	35	obl:mod
39	.	PUNCT	6	punct