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:
Selon Arnold Toynbee, l'application des méthodes de l'English historical school of economics montrerait combien les supposées règles générales de l'économie sont en fait relatives.
Postion	Tokenization
1	Selon
2	Arnold
3	Toynbee
4	,
5	l'
6	application
7	des
8	de
9	les
10	méthodes
11	de
12	l'
13	English
14	historical
15	school
16	of
17	economics
18	montrerait
19	combien
20	les
21	supposées
22	règles
23	générales
24	de
25	l'
26	économie
27	sont
28	en
29	fait
30	relatives
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	2	case
2	Arnold	PROPN	17	obl:mod
3	Toynbee	PROPN	2	flat:name
4	,	PUNCT	2	punct
5	l'	DET	6	det
6	application	NOUN	17	nsubj
7	des	_	None	_
8	de	ADP	9	case
9	les	DET	9	det
10	méthodes	NOUN	6	nmod
11	de	ADP	12	case
12	l'	DET	12	det
13	English	X	9	nmod
14	historical	X	12	flat:foreign
15	school	X	13	flat:foreign
16	of	X	14	flat:foreign
17	economics	X	15	flat:foreign
18	montrerait	VERB	0	root
19	combien	ADV	29	advmod
20	les	DET	21	det
21	supposées	VERB	21	acl
22	règles	NOUN	29	nsubj
23	générales	ADJ	21	amod
24	de	ADP	25	case
25	l'	DET	25	det
26	économie	NOUN	21	nmod
27	sont	AUX	29	cop
28	en	ADP	29	advmod
29	fait	NOUN	27	fixed
30	relatives	ADJ	17	ccomp:obj
31	.	PUNCT	17	punct