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'Allemagne et le Japon continuent à progresser dans le classement pour se situer respectivement en 5ème (avec 5,39) et 6ème (avec 5,37) places.
Postion	Tokenization
1	L'
2	Allemagne
3	et
4	le
5	Japon
6	continuent
7	à
8	progresser
9	dans
10	le
11	classement
12	pour
13	se
14	situer
15	respectivement
16	en
17	5ème
18	(
19	avec
20	5,39
21	)
22	et
23	6ème
24	(
25	avec
26	5,37
27	)
28	places
29	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	Allemagne	PROPN	6	nsubj
3	et	CCONJ	5	cc
4	le	DET	5	det
5	Japon	PROPN	2	conj
6	continuent	VERB	0	root
7	à	ADP	8	mark
8	progresser	VERB	6	xcomp:obl
9	dans	ADP	11	case
10	le	DET	11	det
11	classement	NOUN	8	obl:mod
12	pour	ADP	14	mark
13	se	PRON	14	expl:pass
14	situer	VERB	6	advcl
15	respectivement	ADV	14	advmod
16	en	ADP	28	case
17	5ème	ADJ	28	amod
18	(	PUNCT	20	punct
19	avec	ADP	20	case
20	5,39	NUM	17	obl:mod
21	)	PUNCT	20	punct
22	et	CCONJ	23	cc
23	6ème	ADJ	17	conj
24	(	PUNCT	26	punct
25	avec	ADP	26	case
26	5,37	NUM	23	obl:mod
27	)	PUNCT	26	punct
28	places	NOUN	14	obl:mod
29	.	PUNCT	6	punct