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:
Mathématicien, technicien, philosophe, mystique, etc., ses travaux touchant aussi bien la politique, la religion et la philosophie que les sciences et l'industrie peuvent paraître effectivement confus.
Postion	Tokenization
1	Mathématicien
2	,
3	technicien
4	,
5	philosophe
6	,
7	mystique
8	,
9	etc.
10	,
11	ses
12	travaux
13	touchant
14	aussi
15	bien
16	la
17	politique
18	,
19	la
20	religion
21	et
22	la
23	philosophie
24	que
25	les
26	sciences
27	et
28	l'
29	industrie
30	peuvent
31	paraître
32	effectivement
33	confus
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Mathématicien	NOUN	30	parataxis
2	,	PUNCT	3	punct
3	technicien	NOUN	1	conj
4	,	PUNCT	5	punct
5	philosophe	NOUN	1	conj
6	,	PUNCT	7	punct
7	mystique	ADJ	1	conj
8	,	PUNCT	9	punct
9	etc.	X	1	conj
10	,	PUNCT	9	punct
11	ses	DET	12	det
12	travaux	NOUN	30	nsubj
13	touchant	VERB	12	acl
14	aussi	ADV	17	advmod
15	bien	ADV	14	fixed
16	la	DET	17	det
17	politique	NOUN	13	obj
18	,	PUNCT	20	punct
19	la	DET	20	det
20	religion	NOUN	17	conj
21	et	CCONJ	23	cc
22	la	DET	23	det
23	philosophie	NOUN	17	conj
24	que	SCONJ	26	case
25	les	DET	26	det
26	sciences	NOUN	14	obj
27	et	CCONJ	29	cc
28	l'	DET	29	det
29	industrie	NOUN	26	conj
30	peuvent	VERB	0	root
31	paraître	VERB	30	xcomp:obj
32	effectivement	ADV	31	advmod
33	confus	ADJ	31	xcomp:pred
34	.	PUNCT	30	punct