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:
Frédéric adopta, semble-t-il, une position neutre lors des démêlés juridiques entre Conrad et les Welfes, et même empêcha une procédure de Conrad contre les Welfes.
Postion	Tokenization
1	Frédéric
2	adopta
3	,
4	semble
5	-t
6	-il
7	,
8	une
9	position
10	neutre
11	lors
12	des
13	de
14	les
15	démêlés
16	juridiques
17	entre
18	Conrad
19	et
20	les
21	Welfes
22	,
23	et
24	même
25	empêcha
26	une
27	procédure
28	de
29	Conrad
30	contre
31	les
32	Welfes
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Frédéric	PROPN	2	nsubj
2	adopta	VERB	0	root
3	,	PUNCT	4	punct
4	semble	VERB	2	parataxis
5	-t	PART	6	dep
6	-il	PRON	4	expl:subj
7	,	PUNCT	4	punct
8	une	DET	9	det
9	position	NOUN	2	obj
10	neutre	ADJ	9	amod
11	lors	ADV	2	advmod
12	des	_	None	_
13	de	ADP	14	case
14	les	DET	14	det
15	démêlés	NOUN	11	obl:arg
16	juridiques	ADJ	14	amod
17	entre	ADP	17	case
18	Conrad	PROPN	14	nmod
19	et	CCONJ	20	cc
20	les	DET	20	det
21	Welfes	PROPN	17	conj
22	,	PUNCT	24	punct
23	et	CCONJ	24	cc
24	même	ADV	24	advmod
25	empêcha	VERB	2	conj
26	une	DET	26	det
27	procédure	NOUN	24	obj
28	de	ADP	28	case
29	Conrad	PROPN	26	nmod
30	contre	ADP	31	case
31	les	DET	31	det
32	Welfes	PROPN	26	nmod
33	.	PUNCT	2	punct