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:
Encore aujourd'hui, à mesure de l'identification des victimes, on procède à des inhumations dans l'immense cimetière qui ne cesse de s'agrandir à flanc de colline.
Postion	Tokenization
1	Encore
2	aujourd'hui
3	,
4	à
5	mesure
6	de
7	l'
8	identification
9	des
10	de
11	les
12	victimes
13	,
14	on
15	procède
16	à
17	des
18	inhumations
19	dans
20	l'
21	immense
22	cimetière
23	qui
24	ne
25	cesse
26	de
27	s'
28	agrandir
29	à
30	flanc
31	de
32	colline
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Encore	ADV	2	advmod
2	aujourd'hui	ADV	14	advmod
3	,	PUNCT	2	punct
4	à	ADP	14	advmod
5	mesure	NOUN	4	fixed
6	de	ADP	8	case
7	l'	DET	8	det
8	identification	NOUN	4	obl:arg
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	victimes	NOUN	8	nmod
13	,	PUNCT	4	punct
14	on	PRON	14	nsubj
15	procède	VERB	0	root
16	à	ADP	17	case
17	des	DET	17	det
18	inhumations	NOUN	14	obl:arg
19	dans	ADP	21	case
20	l'	DET	21	det
21	immense	ADJ	21	amod
22	cimetière	NOUN	14	obl:mod
23	qui	PRON	24	nsubj
24	ne	ADV	24	advmod
25	cesse	VERB	21	acl:relcl
26	de	ADP	27	mark
27	s'	PRON	27	expl:pass
28	agrandir	VERB	24	xcomp:obj
29	à	ADP	29	case
30	flanc	NOUN	27	obl:mod
31	de	ADP	31	case
32	colline	NOUN	29	nmod
33	.	PUNCT	14	punct