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:
Les fameuses culottes des joueurs de curling norvégiens ont beau être en rupture de stock tant elles sont populaires, le roi du pays, Harald V, a reçu les siennes mardi.
Postion	Tokenization
1	Les
2	fameuses
3	culottes
4	des
5	de
6	les
7	joueurs
8	de
9	curling
10	norvégiens
11	ont
12	beau
13	être
14	en
15	rupture
16	de
17	stock
18	tant
19	elles
20	sont
21	populaires
22	,
23	le
24	roi
25	du
26	de
27	le
28	pays
29	,
30	Harald
31	V
32	,
33	a
34	reçu
35	les
36	siennes
37	mardi
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	3	det
2	fameuses	ADJ	3	amod
3	culottes	NOUN	10	nsubj
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	joueurs	NOUN	3	nmod
8	de	ADP	8	case
9	curling	NOUN	6	nmod
10	norvégiens	ADJ	6	amod
11	ont	VERB	32	advcl
12	beau	ADJ	10	fixed
13	être	AUX	14	cop
14	en	ADP	14	case
15	rupture	NOUN	10	xcomp:obj
16	de	ADP	16	case
17	stock	NOUN	14	nmod
18	tant	ADV	20	advmod
19	elles	PRON	20	nsubj
20	sont	AUX	20	cop
21	populaires	ADJ	14	advcl
22	,	PUNCT	10	punct
23	le	DET	23	det
24	roi	NOUN	32	nsubj
25	du	_	None	_
26	de	ADP	26	case
27	le	DET	26	det
28	pays	NOUN	23	nmod
29	,	PUNCT	28	punct
30	Harald	PROPN	26	appos
31	V	NUM	28	nmod
32	,	PUNCT	23	punct
33	a	AUX	32	aux:tense
34	reçu	VERB	0	root
35	les	DET	34	det
36	siennes	PRON	32	obj
37	mardi	NOUN	32	obl:mod
38	.	PUNCT	32	punct