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:
Pour équilibrer ses comptes, il doit se séparer de sa collection de peintures et de sa propriété au nord de Paris.
Postion	Tokenization
1	Pour
2	équilibrer
3	ses
4	comptes
5	,
6	il
7	doit
8	se
9	séparer
10	de
11	sa
12	collection
13	de
14	peintures
15	et
16	de
17	sa
18	propriété
19	au
20	à
21	le
22	nord
23	de
24	Paris
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	équilibrer	VERB	7	advcl
3	ses	DET	4	det
4	comptes	NOUN	2	obj
5	,	PUNCT	2	punct
6	il	PRON	7	nsubj
7	doit	VERB	0	root
8	se	PRON	9	obj
9	séparer	VERB	7	xcomp:obj
10	de	ADP	12	case
11	sa	DET	12	det
12	collection	NOUN	9	obl:arg
13	de	ADP	14	case
14	peintures	NOUN	12	nmod
15	et	CCONJ	18	cc
16	de	ADP	18	case
17	sa	DET	18	det
18	propriété	NOUN	12	conj
19	au	_	None	_
20	à	ADP	21	case
21	le	DET	21	det
22	nord	NOUN	18	nmod
23	de	ADP	23	case
24	Paris	PROPN	21	nmod
25	.	PUNCT	7	punct