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:
Pendant cette deuxième période de grande affluence, qui correspond à ce qui est connu en France comme les "années folles", le succès de la station devint international.
Postion	Tokenization
1	Pendant
2	cette
3	deuxième
4	période
5	de
6	grande
7	affluence
8	,
9	qui
10	correspond
11	à
12	ce
13	qui
14	est
15	connu
16	en
17	France
18	comme
19	les
20	"
21	années
22	folles
23	"
24	,
25	le
26	succès
27	de
28	la
29	station
30	devint
31	international
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pendant	ADP	4	case
2	cette	DET	4	det
3	deuxième	ADJ	4	amod
4	période	NOUN	30	obl:mod
5	de	ADP	7	case
6	grande	ADJ	7	amod
7	affluence	NOUN	4	nmod
8	,	PUNCT	10	punct
9	qui	PRON	10	nsubj
10	correspond	VERB	4	acl:relcl
11	à	ADP	12	case
12	ce	PRON	10	obl:arg
13	qui	PRON	15	nsubj:pass
14	est	AUX	15	aux:pass
15	connu	VERB	12	acl:relcl
16	en	ADP	17	case
17	France	PROPN	15	obl:mod
18	comme	ADP	21	case
19	les	DET	21	det
20	"	PUNCT	21	punct
21	années	NOUN	15	obl:mod
22	folles	ADJ	21	amod
23	"	PUNCT	21	punct
24	,	PUNCT	10	punct
25	le	DET	26	det
26	succès	NOUN	30	nsubj
27	de	ADP	29	case
28	la	DET	29	det
29	station	NOUN	26	nmod
30	devint	VERB	0	root
31	international	ADJ	30	xcomp:pred
32	.	PUNCT	30	punct