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:
Selon des organisations de défense des droits de l'Homme, plus de 1.100 civils dont des dizaines d'enfants ont été tués depuis le 15 mars.
Postion	Tokenization
1	Selon
2	des
3	organisations
4	de
5	défense
6	des
7	de
8	les
9	droits
10	de
11	l'
12	Homme
13	,
14	plus
15	de
16	1.100
17	civils
18	dont
19	des
20	dizaines
21	d'
22	enfants
23	ont
24	été
25	tués
26	depuis
27	le
28	15
29	mars
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	3	case
2	des	DET	3	det
3	organisations	NOUN	24	obl:mod
4	de	ADP	5	case
5	défense	NOUN	3	nmod
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	droits	NOUN	5	nmod
10	de	ADP	11	case
11	l'	DET	11	det
12	Homme	NOUN	8	nmod
13	,	PUNCT	3	punct
14	plus	ADV	24	nsubj:pass
15	de	ADP	16	case
16	1.100	NUM	16	nummod
17	civils	NOUN	13	dep:comp
18	dont	PRON	19	nmod
19	des	DET	19	det
20	dizaines	NOUN	16	appos
21	d'	ADP	21	case
22	enfants	NOUN	19	nmod
23	ont	AUX	24	aux:tense
24	été	AUX	24	aux:pass
25	tués	VERB	0	root
26	depuis	ADP	27	case
27	le	DET	27	det
28	15	NUM	24	obl:mod
29	mars	NOUN	27	nmod
30	.	PUNCT	24	punct