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:
Profitant de la chute du régime khmer rouge, il revient à Phnom Penh où il intègre en tant que ministre des affaires étrangères le gouvernement mis en place par les troupes de Hanoi.
Postion	Tokenization
1	Profitant
2	de
3	la
4	chute
5	du
6	de
7	le
8	régime
9	khmer
10	rouge
11	,
12	il
13	revient
14	à
15	Phnom
16	Penh
17	où
18	il
19	intègre
20	en
21	tant
22	que
23	ministre
24	des
25	de
26	les
27	affaires
28	étrangères
29	le
30	gouvernement
31	mis
32	en
33	place
34	par
35	les
36	troupes
37	de
38	Hanoi
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Profitant	VERB	12	advcl
2	de	ADP	4	case
3	la	DET	4	det
4	chute	NOUN	1	obl:arg
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	régime	NOUN	4	nmod
9	khmer	ADJ	7	amod
10	rouge	ADJ	8	amod
11	,	PUNCT	1	punct
12	il	PRON	12	nsubj
13	revient	VERB	0	root
14	à	ADP	14	case
15	Phnom	PROPN	12	obl:arg
16	Penh	PROPN	14	flat:name
17	où	ADV	18	advmod
18	il	PRON	18	nsubj
19	intègre	VERB	14	acl:relcl
20	en	ADP	22	case
21	tant	ADV	19	fixed
22	que	SCONJ	19	fixed
23	ministre	NOUN	18	obl:mod
24	des	_	None	_
25	de	ADP	25	case
26	les	DET	25	det
27	affaires	NOUN	22	nmod
28	étrangères	ADJ	25	amod
29	le	DET	28	det
30	gouvernement	NOUN	18	obj
31	mis	VERB	28	acl
32	en	ADP	31	case
33	place	NOUN	29	obl:mod
34	par	ADP	34	case
35	les	DET	34	det
36	troupes	NOUN	29	obl:agent
37	de	ADP	36	case
38	Hanoi	PROPN	34	nmod
39	.	PUNCT	12	punct