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:
D'ailleurs, l'une de ces photos montre une femme qui a perdu une jambe : elle a été victime d'une brouille avec le Hamas, justement. "
Postion	Tokenization
1	D'
2	ailleurs
3	,
4	l'
5	une
6	de
7	ces
8	photos
9	montre
10	une
11	femme
12	qui
13	a
14	perdu
15	une
16	jambe
17	:
18	elle
19	a
20	été
21	victime
22	d'
23	une
24	brouille
25	avec
26	le
27	Hamas
28	,
29	justement
30	.
31	"
Position	Tokenization	UPOS	Head	Deprel
1	D'	ADP	9	advmod
2	ailleurs	ADV	1	fixed
3	,	PUNCT	1	punct
4	l'	DET	5	det
5	une	PRON	9	nsubj
6	de	ADP	8	case
7	ces	DET	8	det
8	photos	NOUN	5	nmod
9	montre	VERB	0	root
10	une	DET	11	det
11	femme	NOUN	9	obj
12	qui	PRON	14	nsubj
13	a	AUX	14	aux:tense
14	perdu	VERB	11	acl:relcl
15	une	DET	16	det
16	jambe	NOUN	14	obj
17	:	PUNCT	21	punct
18	elle	PRON	21	nsubj
19	a	AUX	21	aux:tense
20	été	AUX	21	cop
21	victime	NOUN	9	parataxis
22	d'	ADP	24	case
23	une	DET	24	det
24	brouille	NOUN	21	nmod
25	avec	ADP	27	case
26	le	DET	27	det
27	Hamas	PROPN	24	nmod
28	,	PUNCT	29	punct
29	justement	ADV	21	advmod
30	.	PUNCT	9	punct
31	"	PUNCT	9	punct