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:
Lors d'une razzia en territoire polonais, Fetih Giray se voit attribuer dans sa part de butin une noble capturée que Joseph von Hammer-Purgstall identifie avec une comtesse « Maria Potocka ».
Postion	Tokenization
1	Lors
2	d'
3	une
4	razzia
5	en
6	territoire
7	polonais
8	,
9	Fetih
10	Giray
11	se
12	voit
13	attribuer
14	dans
15	sa
16	part
17	de
18	butin
19	une
20	noble
21	capturée
22	que
23	Joseph
24	von
25	Hammer-Purgstall
26	identifie
27	avec
28	une
29	comtesse
30	«
31	Maria
32	Potocka
33	»
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	12	advmod
2	d'	ADP	4	case
3	une	DET	4	det
4	razzia	NOUN	1	obl:arg
5	en	ADP	6	case
6	territoire	NOUN	4	nmod
7	polonais	ADJ	6	amod
8	,	PUNCT	1	punct
9	Fetih	PROPN	12	nsubj
10	Giray	PROPN	9	flat:name
11	se	PRON	12	dep:comp
12	voit	VERB	0	root
13	attribuer	VERB	12	xcomp:obj
14	dans	ADP	16	case
15	sa	DET	16	det
16	part	NOUN	13	obl:mod
17	de	ADP	18	case
18	butin	NOUN	16	nmod
19	une	DET	20	det
20	noble	NOUN	13	obj
21	capturée	VERB	20	acl
22	que	PRON	26	obj
23	Joseph	PROPN	26	nsubj
24	von	ADP	23	flat:name
25	Hammer-Purgstall	PROPN	24	flat:name
26	identifie	VERB	20	acl:relcl
27	avec	ADP	29	case
28	une	DET	29	det
29	comtesse	NOUN	26	obl:arg
30	«	PUNCT	31	punct
31	Maria	PROPN	29	appos
32	Potocka	PROPN	31	flat:name
33	»	PUNCT	31	punct
34	.	PUNCT	12	punct