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:
Par exemple le récit de Caïn et Abel : en effet, le meurtre d'Abel a des conséquences pour la terre entière, pour tous les habitants qui peinent désormais à en tirer leur nourriture.
Postion	Tokenization
1	Par
2	exemple
3	le
4	récit
5	de
6	Caïn
7	et
8	Abel
9	:
10	en
11	effet
12	,
13	le
14	meurtre
15	d'
16	Abel
17	a
18	des
19	conséquences
20	pour
21	la
22	terre
23	entière
24	,
25	pour
26	tous
27	les
28	habitants
29	qui
30	peinent
31	désormais
32	à
33	en
34	tirer
35	leur
36	nourriture
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	4	advmod
2	exemple	NOUN	1	fixed
3	le	DET	4	det
4	récit	NOUN	0	root
5	de	ADP	6	case
6	Caïn	PROPN	4	nmod
7	et	CCONJ	8	cc
8	Abel	PROPN	6	conj
9	:	PUNCT	17	punct
10	en	ADP	17	advmod
11	effet	NOUN	10	fixed
12	,	PUNCT	10	punct
13	le	DET	14	det
14	meurtre	NOUN	17	nsubj
15	d'	ADP	16	case
16	Abel	PROPN	14	nmod
17	a	VERB	4	parataxis
18	des	DET	19	det
19	conséquences	NOUN	17	obj
20	pour	ADP	22	case
21	la	DET	22	det
22	terre	NOUN	17	obl:mod
23	entière	ADJ	22	amod
24	,	PUNCT	28	punct
25	pour	ADP	28	case
26	tous	ADJ	28	amod
27	les	DET	28	det
28	habitants	NOUN	17	conj
29	qui	PRON	30	nsubj
30	peinent	VERB	28	acl:relcl
31	désormais	ADV	30	advmod
32	à	ADP	34	mark
33	en	PRON	34	obl:arg
34	tirer	VERB	30	xcomp:obl
35	leur	DET	36	det
36	nourriture	NOUN	34	obj
37	.	PUNCT	4	punct