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:
Alors qu'il arrivait à son domicile, des individus l'ont menacé avant de s'enfuir avec sa Porsche Cayenne.
Postion	Tokenization
1	Alors
2	qu'
3	il
4	arrivait
5	à
6	son
7	domicile
8	,
9	des
10	individus
11	l'
12	ont
13	menacé
14	avant
15	de
16	s'
17	enfuir
18	avec
19	sa
20	Porsche
21	Cayenne
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Alors	ADV	4	mark
2	qu'	SCONJ	1	fixed
3	il	PRON	4	nsubj
4	arrivait	VERB	13	advcl
5	à	ADP	7	case
6	son	DET	7	det
7	domicile	NOUN	4	obl:arg
8	,	PUNCT	4	punct
9	des	DET	10	det
10	individus	NOUN	13	nsubj
11	l'	PRON	13	obj
12	ont	AUX	13	aux:tense
13	menacé	VERB	0	root
14	avant	ADV	13	advmod
15	de	ADP	17	mark
16	s'	PRON	17	dep:comp
17	enfuir	VERB	14	ccomp:obj
18	avec	ADP	20	case
19	sa	DET	20	det
20	Porsche	PROPN	17	obl:mod
21	Cayenne	PROPN	20	flat:name
22	.	PUNCT	13	punct