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:
Maxime Rodinson écrivit alors : « Un très grand savant français, reconnu comme maître par tous ses pairs à l'étranger, vient de disparaître.
Postion	Tokenization
1	Maxime
2	Rodinson
3	écrivit
4	alors
5	:
6	«
7	Un
8	très
9	grand
10	savant
11	français
12	,
13	reconnu
14	comme
15	maître
16	par
17	tous
18	ses
19	pairs
20	à
21	l'
22	étranger
23	,
24	vient
25	de
26	disparaître
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Maxime	PROPN	3	nsubj
2	Rodinson	PROPN	1	flat:name
3	écrivit	VERB	0	root
4	alors	ADV	3	advmod
5	:	PUNCT	24	punct
6	«	PUNCT	24	punct
7	Un	DET	10	det
8	très	ADV	9	advmod
9	grand	ADJ	10	amod
10	savant	NOUN	24	nsubj
11	français	ADJ	10	amod
12	,	PUNCT	13	punct
13	reconnu	VERB	10	acl
14	comme	ADP	15	case
15	maître	NOUN	13	obl:mod
16	par	ADP	19	case
17	tous	ADJ	19	amod
18	ses	DET	19	det
19	pairs	NOUN	13	obl:agent
20	à	ADP	22	case
21	l'	DET	22	det
22	étranger	NOUN	13	obl:mod
23	,	PUNCT	13	punct
24	vient	VERB	3	parataxis
25	de	ADP	26	mark
26	disparaître	VERB	24	xcomp:obl
27	.	PUNCT	3	punct