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:
D'après les connaisseurs des arcanes du pouvoir étatsunien, le fait qu'Hillary Clinton ait été nommée à la tête du département d'Etat n'est pas un hasard et Barak Obama ne lui aurait pas donné ce poste pour la consoler de sa défaite aux élections présidentielles.
Postion	Tokenization
1	D'
2	après
3	les
4	connaisseurs
5	des
6	de
7	les
8	arcanes
9	du
10	de
11	le
12	pouvoir
13	étatsunien
14	,
15	le
16	fait
17	qu'
18	Hillary
19	Clinton
20	ait
21	été
22	nommée
23	à
24	la
25	tête
26	du
27	de
28	le
29	département
30	d'
31	Etat
32	n'
33	est
34	pas
35	un
36	hasard
37	et
38	Barak
39	Obama
40	ne
41	lui
42	aurait
43	pas
44	donné
45	ce
46	poste
47	pour
48	la
49	consoler
50	de
51	sa
52	défaite
53	aux
54	à
55	les
56	élections
57	présidentielles
58	.
Position	Tokenization	UPOS	Head	Deprel
1	D'	ADP	4	case
2	après	ADP	1	fixed
3	les	DET	4	det
4	connaisseurs	NOUN	33	obl:mod
5	des	_	None	_
6	de	ADP	7	case
7	les	DET	7	det
8	arcanes	NOUN	4	nmod
9	du	_	None	_
10	de	ADP	10	case
11	le	DET	10	det
12	pouvoir	NOUN	7	nmod
13	étatsunien	ADJ	10	amod
14	,	PUNCT	4	punct
15	le	DET	14	det
16	fait	NOUN	33	nsubj
17	qu'	SCONJ	20	mark
18	Hillary	PROPN	20	nsubj:pass
19	Clinton	PROPN	16	flat:name
20	ait	AUX	20	aux:tense
21	été	AUX	20	aux:pass
22	nommée	VERB	14	acl
23	à	ADP	23	case
24	la	DET	23	det
25	tête	NOUN	20	obl:arg
26	du	_	None	_
27	de	ADP	26	case
28	le	DET	26	det
29	département	NOUN	23	nmod
30	d'	ADP	28	case
31	Etat	NOUN	26	nmod
32	n'	ADV	33	advmod
33	est	AUX	33	cop
34	pas	ADV	33	advmod
35	un	DET	33	det
36	hasard	NOUN	0	root
37	et	CCONJ	41	cc
38	Barak	PROPN	41	nsubj
39	Obama	PROPN	35	flat:name
40	ne	ADV	41	advmod
41	lui	PRON	41	obl:arg
42	aurait	AUX	41	aux:tense
43	pas	ADV	41	advmod
44	donné	VERB	33	conj
45	ce	DET	43	det
46	poste	NOUN	41	obj
47	pour	ADP	46	mark
48	la	PRON	46	obj
49	consoler	VERB	41	advcl
50	de	ADP	49	case
51	sa	DET	49	det
52	défaite	NOUN	46	obl:arg
53	aux	_	None	_
54	à	ADP	52	case
55	les	DET	52	det
56	élections	NOUN	49	nmod
57	présidentielles	ADJ	52	amod
58	.	PUNCT	33	punct