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:
Son usage par les sages-femmes pour accélérer la délivrance semble ancestral même s'il n'est mentionné dans un recueil de plantes médicinales qu'en 1582 par le docteur allemand Adam Lonitzer.
Postion	Tokenization
1	Son
2	usage
3	par
4	les
5	sages-femmes
6	pour
7	accélérer
8	la
9	délivrance
10	semble
11	ancestral
12	même
13	s'
14	il
15	n'
16	est
17	mentionné
18	dans
19	un
20	recueil
21	de
22	plantes
23	médicinales
24	qu'
25	en
26	1582
27	par
28	le
29	docteur
30	allemand
31	Adam
32	Lonitzer
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	usage	NOUN	10	nsubj
3	par	ADP	5	case
4	les	DET	5	det
5	sages-femmes	NOUN	2	nmod
6	pour	ADP	7	mark
7	accélérer	VERB	2	acl
8	la	DET	9	det
9	délivrance	NOUN	7	obj
10	semble	VERB	0	root
11	ancestral	ADJ	10	xcomp:pred
12	même	ADV	17	advmod
13	s'	SCONJ	17	mark
14	il	PRON	17	nsubj:pass
15	n'	ADV	17	advmod
16	est	AUX	17	aux:pass
17	mentionné	VERB	10	advcl
18	dans	ADP	20	case
19	un	DET	20	det
20	recueil	NOUN	17	obl:mod
21	de	ADP	22	case
22	plantes	NOUN	20	nmod
23	médicinales	ADJ	22	amod
24	qu'	ADV	26	advmod
25	en	ADP	26	case
26	1582	NUM	20	nmod
27	par	ADP	29	case
28	le	DET	29	det
29	docteur	NOUN	17	obl:agent
30	allemand	ADJ	29	amod
31	Adam	PROPN	29	appos
32	Lonitzer	PROPN	31	flat:name
33	.	PUNCT	10	punct