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:
Le seul obstacle à une identification sûre dans ce sens est le fait qu'à part les deux figures principales--Tobie aveugle et sa femme Anna--il manque un attribut typique, surtout le rouet d'Anna.
Postion	Tokenization
1	Le
2	seul
3	obstacle
4	à
5	une
6	identification
7	sûre
8	dans
9	ce
10	sens
11	est
12	le
13	fait
14	qu'
15	à
16	part
17	les
18	deux
19	figures
20	principales
21	--
22	Tobie
23	aveugle
24	et
25	sa
26	femme
27	Anna
28	--
29	il
30	manque
31	un
32	attribut
33	typique
34	,
35	surtout
36	le
37	rouet
38	d'
39	Anna
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	3	det
2	seul	ADJ	3	amod
3	obstacle	NOUN	13	nsubj
4	à	ADP	6	case
5	une	DET	6	det
6	identification	NOUN	3	nmod
7	sûre	ADJ	6	amod
8	dans	ADP	10	case
9	ce	DET	10	det
10	sens	NOUN	3	nmod
11	est	AUX	13	cop
12	le	DET	13	det
13	fait	NOUN	0	root
14	qu'	SCONJ	30	mark
15	à	ADP	19	case
16	part	NOUN	15	fixed
17	les	DET	19	det
18	deux	NUM	19	nummod
19	figures	NOUN	30	obl:mod
20	principales	ADJ	19	amod
21	--	PUNCT	22	punct
22	Tobie	PROPN	19	appos
23	aveugle	ADJ	22	amod
24	et	CCONJ	26	cc
25	sa	DET	26	det
26	femme	NOUN	22	conj
27	Anna	PROPN	26	appos
28	--	PUNCT	22	punct
29	il	PRON	30	nsubj
30	manque	VERB	13	acl
31	un	DET	32	det
32	attribut	NOUN	30	obj
33	typique	ADJ	32	amod
34	,	PUNCT	37	punct
35	surtout	ADV	37	advmod
36	le	DET	37	det
37	rouet	NOUN	32	appos
38	d'	ADP	39	case
39	Anna	PROPN	37	nmod
40	.	PUNCT	13	punct