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:
Il passa en France en 1968, où il demeura le restant de sa vie, travaillant pour le gouvernement français dans les DOMTOM, aidé par Philippe Rossillon.
Postion	Tokenization
1	Il
2	passa
3	en
4	France
5	en
6	1968
7	,
8	où
9	il
10	demeura
11	le
12	restant
13	de
14	sa
15	vie
16	,
17	travaillant
18	pour
19	le
20	gouvernement
21	français
22	dans
23	les
24	DOMTOM
25	,
26	aidé
27	par
28	Philippe
29	Rossillon
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	passa	VERB	0	root
3	en	ADP	4	case
4	France	PROPN	2	obl:mod
5	en	ADP	6	case
6	1968	NUM	2	obl:mod
7	,	PUNCT	10	punct
8	où	ADV	10	obl:arg
9	il	PRON	10	nsubj
10	demeura	VERB	4	acl:relcl
11	le	DET	12	det
12	restant	NOUN	10	obj
13	de	ADP	15	case
14	sa	DET	15	det
15	vie	NOUN	12	nmod
16	,	PUNCT	17	punct
17	travaillant	VERB	10	advcl
18	pour	ADP	20	case
19	le	DET	20	det
20	gouvernement	NOUN	17	obl:mod
21	français	ADJ	20	amod
22	dans	ADP	24	case
23	les	DET	24	det
24	DOMTOM	NOUN	17	obl:mod
25	,	PUNCT	26	punct
26	aidé	VERB	17	conj
27	par	ADP	28	case
28	Philippe	PROPN	26	obl:agent
29	Rossillon	PROPN	28	flat:name
30	.	PUNCT	2	punct