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:
Ce bombardier était en route pour un bombardement sur Strasbourg, mais après un ennui mécanique, son pilote Milton Mard décide de se diriger sur la Suisse.
Postion	Tokenization
1	Ce
2	bombardier
3	était
4	en
5	route
6	pour
7	un
8	bombardement
9	sur
10	Strasbourg
11	,
12	mais
13	après
14	un
15	ennui
16	mécanique
17	,
18	son
19	pilote
20	Milton
21	Mard
22	décide
23	de
24	se
25	diriger
26	sur
27	la
28	Suisse
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	DET	2	det
2	bombardier	NOUN	5	nsubj
3	était	AUX	5	cop
4	en	ADP	5	case
5	route	NOUN	0	root
6	pour	ADP	8	case
7	un	DET	8	det
8	bombardement	NOUN	5	nmod
9	sur	ADP	10	case
10	Strasbourg	PROPN	8	nmod
11	,	PUNCT	22	punct
12	mais	CCONJ	22	cc
13	après	ADP	15	case
14	un	DET	15	det
15	ennui	NOUN	22	obl:mod
16	mécanique	ADJ	15	amod
17	,	PUNCT	15	punct
18	son	DET	19	det
19	pilote	NOUN	22	nsubj
20	Milton	PROPN	19	appos
21	Mard	PROPN	20	flat:name
22	décide	VERB	5	conj
23	de	ADP	25	mark
24	se	PRON	25	dep:comp
25	diriger	VERB	22	xcomp:obj
26	sur	ADP	28	case
27	la	DET	28	det
28	Suisse	PROPN	25	obl:mod
29	.	PUNCT	5	punct