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:
Par cette dernière, issue d'une famille de juristes poitevins, Henri Caillemer héritera du château de Choisy, dont il fera sa résidence dans la commune du Givre.
Postion	Tokenization
1	Par
2	cette
3	dernière
4	,
5	issue
6	d'
7	une
8	famille
9	de
10	juristes
11	poitevins
12	,
13	Henri
14	Caillemer
15	héritera
16	du
17	de
18	le
19	château
20	de
21	Choisy
22	,
23	dont
24	il
25	fera
26	sa
27	résidence
28	dans
29	la
30	commune
31	du
32	de
33	le
34	Givre
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	3	case
2	cette	DET	3	det
3	dernière	ADJ	15	obl:mod
4	,	PUNCT	5	punct
5	issue	ADJ	3	amod
6	d'	ADP	8	case
7	une	DET	8	det
8	famille	NOUN	5	obl:arg
9	de	ADP	10	case
10	juristes	NOUN	8	nmod
11	poitevins	ADJ	10	amod
12	,	PUNCT	5	punct
13	Henri	PROPN	15	nsubj
14	Caillemer	PROPN	13	flat:name
15	héritera	VERB	0	root
16	du	_	None	_
17	de	ADP	18	case
18	le	DET	18	det
19	château	NOUN	15	obl:arg
20	de	ADP	20	case
21	Choisy	PROPN	18	nmod
22	,	PUNCT	24	punct
23	dont	PRON	24	obl:arg
24	il	PRON	24	nsubj
25	fera	VERB	18	acl:relcl
26	sa	DET	26	det
27	résidence	NOUN	24	obj
28	dans	ADP	29	case
29	la	DET	29	det
30	commune	NOUN	24	obl:mod
31	du	_	None	_
32	de	ADP	32	case
33	le	DET	32	det
34	Givre	PROPN	29	nmod
35	.	PUNCT	15	punct