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:
L'hémisomatectomie (issu du grec hêmisus : demi, sôma, atos : corps et ektomé : ablation) est l'amputation de la moitié inférieure du corps.
Postion	Tokenization
1	L'
2	hémisomatectomie
3	(
4	issu
5	du
6	de
7	le
8	grec
9	hêmisus
10	:
11	demi
12	,
13	sôma
14	,
15	atos
16	:
17	corps
18	et
19	ektomé
20	:
21	ablation
22	)
23	est
24	l'
25	amputation
26	de
27	la
28	moitié
29	inférieure
30	du
31	de
32	le
33	corps
34	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	hémisomatectomie	NOUN	24	nsubj
3	(	PUNCT	4	punct
4	issu	ADJ	2	parataxis
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	grec	NOUN	4	obl:arg
9	hêmisus	X	7	appos
10	:	PUNCT	10	punct
11	demi	ADV	8	appos
12	,	PUNCT	12	punct
13	sôma	X	8	conj
14	,	PUNCT	14	punct
15	atos	X	8	conj
16	:	PUNCT	16	punct
17	corps	NOUN	14	appos
18	et	CCONJ	18	cc
19	ektomé	X	8	conj
20	:	PUNCT	20	punct
21	ablation	NOUN	18	appos
22	)	PUNCT	4	punct
23	est	AUX	24	cop
24	l'	DET	24	det
25	amputation	NOUN	0	root
26	de	ADP	27	case
27	la	DET	27	det
28	moitié	NOUN	24	nmod
29	inférieure	ADJ	27	amod
30	du	_	None	_
31	de	ADP	31	case
32	le	DET	31	det
33	corps	NOUN	27	nmod
34	.	PUNCT	24	punct