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:
Par contre c'est le Musée national de Varsovie, architecture néo-classique caractéristique de l'Entre-deux-guerres dans la capitale polonaise, qui représente l'Institut de la jeunesse hitlérienne à Braunschweig.
Postion	Tokenization
1	Par
2	contre
3	c'
4	est
5	le
6	Musée
7	national
8	de
9	Varsovie
10	,
11	architecture
12	néo-classique
13	caractéristique
14	de
15	l'
16	Entre-deux-guerres
17	dans
18	la
19	capitale
20	polonaise
21	,
22	qui
23	représente
24	l'
25	Institut
26	de
27	la
28	jeunesse
29	hitlérienne
30	à
31	Braunschweig
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	6	advmod
2	contre	NOUN	1	fixed
3	c'	PRON	6	expl:subj
4	est	AUX	6	cop
5	le	DET	6	det
6	Musée	NOUN	0	root
7	national	ADJ	6	amod
8	de	ADP	9	case
9	Varsovie	PROPN	6	nmod
10	,	PUNCT	11	punct
11	architecture	NOUN	6	appos
12	néo-classique	ADJ	11	amod
13	caractéristique	ADJ	11	amod
14	de	ADP	16	case
15	l'	DET	16	det
16	Entre-deux-guerres	NOUN	13	obl:arg
17	dans	ADP	19	case
18	la	DET	19	det
19	capitale	NOUN	13	obl:mod
20	polonaise	ADJ	19	amod
21	,	PUNCT	23	punct
22	qui	PRON	23	nsubj
23	représente	VERB	6	advcl:cleft
24	l'	DET	25	det
25	Institut	NOUN	23	obj
26	de	ADP	28	case
27	la	DET	28	det
28	jeunesse	NOUN	25	nmod
29	hitlérienne	ADJ	28	amod
30	à	ADP	31	case
31	Braunschweig	PROPN	23	obl:mod
32	.	PUNCT	6	punct