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:
Il fut également le théâtre de la fameuse querelle des Nivelle : Jean de Nivelle avait assisté à la rédaction du testament paternel dans lequel il s'était fait donner la plus belle part.
Postion	Tokenization
1	Il
2	fut
3	également
4	le
5	théâtre
6	de
7	la
8	fameuse
9	querelle
10	des
11	de
12	les
13	Nivelle
14	:
15	Jean
16	de
17	Nivelle
18	avait
19	assisté
20	à
21	la
22	rédaction
23	du
24	de
25	le
26	testament
27	paternel
28	dans
29	lequel
30	il
31	s'
32	était
33	fait
34	donner
35	la
36	plus
37	belle
38	part
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	5	nsubj
2	fut	AUX	5	cop
3	également	ADV	5	advmod
4	le	DET	5	det
5	théâtre	NOUN	0	root
6	de	ADP	9	case
7	la	DET	9	det
8	fameuse	ADJ	9	amod
9	querelle	NOUN	5	nmod
10	des	_	None	_
11	de	ADP	12	case
12	les	DET	12	det
13	Nivelle	PROPN	9	nmod
14	:	PUNCT	18	punct
15	Jean	PROPN	18	nsubj
16	de	ADP	16	case
17	Nivelle	PROPN	14	nmod
18	avait	AUX	18	aux:tense
19	assisté	VERB	5	parataxis
20	à	ADP	21	case
21	la	DET	21	det
22	rédaction	NOUN	18	obl:arg
23	du	_	None	_
24	de	ADP	24	case
25	le	DET	24	det
26	testament	NOUN	21	nmod
27	paternel	ADJ	24	amod
28	dans	ADP	27	case
29	lequel	PRON	32	obl:mod
30	il	PRON	32	nsubj:caus
31	s'	PRON	32	obl:arg
32	était	AUX	32	aux:tense
33	fait	AUX	32	aux:caus
34	donner	VERB	24	acl:relcl
35	la	DET	36	det
36	plus	ADV	35	advmod
37	belle	ADJ	36	amod
38	part	NOUN	32	obj
39	.	PUNCT	5	punct