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:
Ses nouvelles (La clef, La baignade) et ses récits (La cruche chinoise) se distinguent par la psychographie émotionnelle minutieuse qui effleure le subconscient, par l'analyse des relations humaines appuyée d'un panorama sociologique nuancé.
Postion	Tokenization
1	Ses
2	nouvelles
3	(
4	La
5	clef
6	,
7	La
8	baignade
9	)
10	et
11	ses
12	récits
13	(
14	La
15	cruche
16	chinoise
17	)
18	se
19	distinguent
20	par
21	la
22	psychographie
23	émotionnelle
24	minutieuse
25	qui
26	effleure
27	le
28	subconscient
29	,
30	par
31	l'
32	analyse
33	des
34	de
35	les
36	relations
37	humaines
38	appuyée
39	d'
40	un
41	panorama
42	sociologique
43	nuancé
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	2	det
2	nouvelles	NOUN	19	nsubj:pass
3	(	PUNCT	5	punct
4	La	DET	5	det
5	clef	NOUN	2	appos
6	,	PUNCT	8	punct
7	La	DET	8	det
8	baignade	NOUN	5	conj
9	)	PUNCT	5	punct
10	et	CCONJ	12	cc
11	ses	DET	12	det
12	récits	NOUN	2	conj
13	(	PUNCT	15	punct
14	La	DET	15	det
15	cruche	NOUN	12	appos
16	chinoise	ADJ	15	amod
17	)	PUNCT	15	punct
18	se	PRON	19	expl:pass
19	distinguent	VERB	0	root
20	par	ADP	22	case
21	la	DET	22	det
22	psychographie	NOUN	19	obl:arg
23	émotionnelle	ADJ	22	amod
24	minutieuse	ADJ	22	amod
25	qui	PRON	26	nsubj
26	effleure	VERB	22	acl:relcl
27	le	DET	28	det
28	subconscient	NOUN	26	obj
29	,	PUNCT	32	punct
30	par	ADP	32	case
31	l'	DET	32	det
32	analyse	NOUN	22	conj
33	des	_	None	_
34	de	ADP	35	case
35	les	DET	35	det
36	relations	NOUN	32	nmod
37	humaines	ADJ	35	amod
38	appuyée	VERB	32	acl
39	d'	ADP	40	case
40	un	DET	40	det
41	panorama	NOUN	37	obl:agent
42	sociologique	ADJ	40	amod
43	nuancé	ADJ	40	amod
44	.	PUNCT	19	punct