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:
L'agence a évolué au cours des 60 dernières années d'une petite équipe de 32 personnes travaillant dans les sous-sols de la Maison Blanche à plus de mille personnes.
Postion	Tokenization
1	L'
2	agence
3	a
4	évolué
5	au
6	à
7	le
8	cours
9	des
10	de
11	les
12	60
13	dernières
14	années
15	d'
16	une
17	petite
18	équipe
19	de
20	32
21	personnes
22	travaillant
23	dans
24	les
25	sous-sols
26	de
27	la
28	Maison
29	Blanche
30	à
31	plus
32	de
33	mille
34	personnes
35	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	agence	NOUN	4	nsubj
3	a	AUX	4	aux:tense
4	évolué	VERB	0	root
5	au	_	None	_
6	à	ADP	7	case
7	le	DET	7	det
8	cours	NOUN	4	obl:mod
9	des	_	None	_
10	de	ADP	12	case
11	les	DET	12	det
12	60	NUM	12	nummod
13	dernières	ADJ	12	amod
14	années	NOUN	7	nmod
15	d'	ADP	16	case
16	une	DET	16	det
17	petite	ADJ	16	amod
18	équipe	NOUN	4	obl:arg
19	de	ADP	19	case
20	32	NUM	19	nummod
21	personnes	NOUN	16	nmod
22	travaillant	VERB	16	acl
23	dans	ADP	23	case
24	les	DET	23	det
25	sous-sols	NOUN	20	obl:mod
26	de	ADP	26	case
27	la	DET	26	det
28	Maison	PROPN	23	nmod
29	Blanche	ADJ	26	amod
30	à	ADP	29	case
31	plus	ADV	16	nmod
32	de	ADP	32	case
33	mille	NUM	32	nummod
34	personnes	NOUN	29	dep:comp
35	.	PUNCT	4	punct