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:
A Lyon, les difficultés de gestion des dossiers sont accentuées par la fermeture pour travaux des bureaux de la Caisse d'Allocation Familiale, dans le quartier de la Part Dieu.
Postion	Tokenization
1	A
2	Lyon
3	,
4	les
5	difficultés
6	de
7	gestion
8	des
9	de
10	les
11	dossiers
12	sont
13	accentuées
14	par
15	la
16	fermeture
17	pour
18	travaux
19	des
20	de
21	les
22	bureaux
23	de
24	la
25	Caisse
26	d'
27	Allocation
28	Familiale
29	,
30	dans
31	le
32	quartier
33	de
34	la
35	Part
36	Dieu
37	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	case
2	Lyon	PROPN	12	obl:mod
3	,	PUNCT	2	punct
4	les	DET	5	det
5	difficultés	NOUN	12	nsubj:pass
6	de	ADP	7	case
7	gestion	NOUN	5	nmod
8	des	_	None	_
9	de	ADP	10	case
10	les	DET	10	det
11	dossiers	NOUN	7	nmod
12	sont	AUX	12	aux:pass
13	accentuées	VERB	0	root
14	par	ADP	15	case
15	la	DET	15	det
16	fermeture	NOUN	12	obl:agent
17	pour	ADP	17	case
18	travaux	NOUN	15	nmod
19	des	_	None	_
20	de	ADP	20	case
21	les	DET	20	det
22	bureaux	NOUN	15	nmod
23	de	ADP	23	case
24	la	DET	23	det
25	Caisse	NOUN	20	nmod
26	d'	ADP	25	case
27	Allocation	NOUN	23	nmod
28	Familiale	PROPN	25	flat:name
29	,	PUNCT	30	punct
30	dans	ADP	30	case
31	le	DET	30	det
32	quartier	NOUN	15	nmod
33	de	ADP	33	case
34	la	DET	33	det
35	Part	PROPN	30	nmod
36	Dieu	PROPN	33	flat:name
37	.	PUNCT	12	punct