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:
Après la transmission, Bob possède donc un ensemble de mesures qui sont corrélées aux données envoyées par Alice, mais qui ont pu être espionnées par Eve.
Postion	Tokenization
1	Après
2	la
3	transmission
4	,
5	Bob
6	possède
7	donc
8	un
9	ensemble
10	de
11	mesures
12	qui
13	sont
14	corrélées
15	aux
16	à
17	les
18	données
19	envoyées
20	par
21	Alice
22	,
23	mais
24	qui
25	ont
26	pu
27	être
28	espionnées
29	par
30	Eve
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	la	DET	3	det
3	transmission	NOUN	6	obl:mod
4	,	PUNCT	3	punct
5	Bob	PROPN	6	nsubj
6	possède	VERB	0	root
7	donc	ADV	6	advmod
8	un	DET	9	det
9	ensemble	NOUN	6	obj
10	de	ADP	11	case
11	mesures	NOUN	9	nmod
12	qui	PRON	14	nsubj
13	sont	AUX	14	aux:tense
14	corrélées	VERB	11	acl:relcl
15	aux	_	None	_
16	à	ADP	17	case
17	les	DET	17	det
18	données	NOUN	14	obl:arg
19	envoyées	VERB	17	acl
20	par	ADP	20	case
21	Alice	PROPN	18	obl:agent
22	,	PUNCT	25	punct
23	mais	CCONJ	25	cc
24	qui	PRON	25	nsubj
25	ont	AUX	25	aux:tense
26	pu	VERB	14	conj
27	être	AUX	27	aux:pass
28	espionnées	VERB	25	xcomp:obj
29	par	ADP	29	case
30	Eve	PROPN	27	obl:agent
31	.	PUNCT	6	punct