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:
Il a mélangé les images abstraites et concrètes d'une façon inédite dans la poésie perse, ce qui a désarçonné certains amateurs d'une poésie persane plus traditionnelle.
Postion	Tokenization
1	Il
2	a
3	mélangé
4	les
5	images
6	abstraites
7	et
8	concrètes
9	d'
10	une
11	façon
12	inédite
13	dans
14	la
15	poésie
16	perse
17	,
18	ce
19	qui
20	a
21	désarçonné
22	certains
23	amateurs
24	d'
25	une
26	poésie
27	persane
28	plus
29	traditionnelle
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	mélangé	VERB	0	root
4	les	DET	5	det
5	images	NOUN	3	obj
6	abstraites	ADJ	5	amod
7	et	CCONJ	8	cc
8	concrètes	ADJ	6	conj
9	d'	ADP	11	case
10	une	DET	11	det
11	façon	NOUN	3	obl:mod
12	inédite	ADJ	11	amod
13	dans	ADP	15	case
14	la	DET	15	det
15	poésie	NOUN	11	nmod
16	perse	ADJ	15	amod
17	,	PUNCT	18	punct
18	ce	PRON	3	parataxis
19	qui	PRON	21	nsubj
20	a	AUX	21	aux:tense
21	désarçonné	VERB	18	acl:relcl
22	certains	DET	23	det
23	amateurs	NOUN	21	obj
24	d'	ADP	26	case
25	une	DET	26	det
26	poésie	NOUN	23	nmod
27	persane	ADJ	26	amod
28	plus	ADV	29	advmod
29	traditionnelle	ADJ	26	amod
30	.	PUNCT	3	punct