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:
En Lot-et-Garonne, les ADMR représentent un éventail de 33 associations locales et une fédération animées par 550 bénévoles aidés au quotidien par 87 salariés administratifs.
Postion	Tokenization
1	En
2	Lot-et-Garonne
3	,
4	les
5	ADMR
6	représentent
7	un
8	éventail
9	de
10	33
11	associations
12	locales
13	et
14	une
15	fédération
16	animées
17	par
18	550
19	bénévoles
20	aidés
21	au
22	à
23	le
24	quotidien
25	par
26	87
27	salariés
28	administratifs
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Lot-et-Garonne	PROPN	6	obl:mod
3	,	PUNCT	2	punct
4	les	DET	5	det
5	ADMR	PROPN	6	nsubj
6	représentent	VERB	0	root
7	un	DET	8	det
8	éventail	NOUN	6	obj
9	de	ADP	11	case
10	33	NUM	11	nummod
11	associations	NOUN	8	nmod
12	locales	ADJ	11	amod
13	et	CCONJ	15	cc
14	une	DET	15	det
15	fédération	NOUN	8	conj
16	animées	VERB	15	acl
17	par	ADP	19	case
18	550	NUM	19	nummod
19	bénévoles	NOUN	16	obl:agent
20	aidés	VERB	19	acl
21	au	_	None	_
22	à	ADP	23	case
23	le	DET	23	det
24	quotidien	NOUN	20	obl:mod
25	par	ADP	26	case
26	87	NUM	26	nummod
27	salariés	NOUN	20	obl:agent
28	administratifs	ADJ	26	amod
29	.	PUNCT	6	punct