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:
Non seulement Marie Feodorovna accepta cette idée, mais elle unit ses forces à celles de Catherine Nelidova pour tenter de modérer le tempérament de plus en plus névrosé de Paul.
Postion	Tokenization
1	Non
2	seulement
3	Marie
4	Feodorovna
5	accepta
6	cette
7	idée
8	,
9	mais
10	elle
11	unit
12	ses
13	forces
14	à
15	celles
16	de
17	Catherine
18	Nelidova
19	pour
20	tenter
21	de
22	modérer
23	le
24	tempérament
25	de
26	plus
27	en
28	plus
29	névrosé
30	de
31	Paul
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Non	ADV	5	advmod
2	seulement	ADV	1	fixed
3	Marie	PROPN	5	nsubj
4	Feodorovna	PROPN	3	flat:name
5	accepta	VERB	0	root
6	cette	DET	7	det
7	idée	NOUN	5	obj
8	,	PUNCT	11	punct
9	mais	CCONJ	11	cc
10	elle	PRON	11	nsubj
11	unit	VERB	5	conj
12	ses	DET	13	det
13	forces	NOUN	11	obj
14	à	ADP	15	case
15	celles	PRON	11	obl:arg
16	de	ADP	17	case
17	Catherine	PROPN	15	nmod
18	Nelidova	PROPN	17	flat:name
19	pour	ADP	20	mark
20	tenter	VERB	11	advcl
21	de	ADP	22	mark
22	modérer	VERB	20	xcomp:obj
23	le	DET	24	det
24	tempérament	NOUN	22	obj
25	de	ADP	29	advmod
26	plus	ADV	25	fixed
27	en	ADP	25	fixed
28	plus	ADV	25	fixed
29	névrosé	ADJ	24	amod
30	de	ADP	31	case
31	Paul	PROPN	24	nmod
32	.	PUNCT	5	punct