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:
Cette règle s'applique ainsi aux français non-résidents à raison des revenus de leur patrimoine situé en France (revenus fonciers notamment).
Postion	Tokenization
1	Cette
2	règle
3	s'
4	applique
5	ainsi
6	aux
7	à
8	les
9	français
10	non-résidents
11	à
12	raison
13	des
14	de
15	les
16	revenus
17	de
18	leur
19	patrimoine
20	situé
21	en
22	France
23	(
24	revenus
25	fonciers
26	notamment
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	règle	NOUN	4	nsubj:pass
3	s'	PRON	4	expl:pass
4	applique	VERB	0	root
5	ainsi	ADV	4	advmod
6	aux	_	None	_
7	à	ADP	8	case
8	les	DET	8	det
9	français	NOUN	4	obl:arg
10	non-résidents	ADJ	8	amod
11	à	ADP	4	advmod
12	raison	NOUN	10	fixed
13	des	_	None	_
14	de	ADP	14	case
15	les	DET	14	det
16	revenus	NOUN	10	obl:arg
17	de	ADP	17	case
18	leur	DET	17	det
19	patrimoine	NOUN	14	nmod
20	situé	VERB	17	acl
21	en	ADP	20	case
22	France	PROPN	18	obl:mod
23	(	PUNCT	22	punct
24	revenus	NOUN	14	appos
25	fonciers	ADJ	22	amod
26	notamment	ADV	23	advmod
27	)	PUNCT	22	punct
28	.	PUNCT	4	punct