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:
Scotland Yard donne sa langue au chat, et Sherlock Holmes se lance aussitôt avec fougue dans la plus étrange et la plus périlleuse de ses enquêtes...
Postion	Tokenization
1	Scotland
2	Yard
3	donne
4	sa
5	langue
6	au
7	à
8	le
9	chat
10	,
11	et
12	Sherlock
13	Holmes
14	se
15	lance
16	aussitôt
17	avec
18	fougue
19	dans
20	la
21	plus
22	étrange
23	et
24	la
25	plus
26	périlleuse
27	de
28	ses
29	enquêtes
30	...
Position	Tokenization	UPOS	Head	Deprel
1	Scotland	PROPN	3	nsubj
2	Yard	PROPN	1	flat:name
3	donne	VERB	0	root
4	sa	DET	5	det
5	langue	NOUN	3	obj
6	au	_	None	_
7	à	ADP	8	case
8	le	DET	8	det
9	chat	NOUN	5	nmod
10	,	PUNCT	14	punct
11	et	CCONJ	14	cc
12	Sherlock	PROPN	14	nsubj
13	Holmes	PROPN	11	flat:name
14	se	PRON	14	obj
15	lance	VERB	3	conj
16	aussitôt	ADV	14	advmod
17	avec	ADP	17	case
18	fougue	NOUN	14	obl:mod
19	dans	ADP	21	case
20	la	DET	21	det
21	plus	ADV	21	advmod
22	étrange	ADJ	14	obl:arg
23	et	CCONJ	25	cc
24	la	DET	25	det
25	plus	ADV	25	advmod
26	périlleuse	ADJ	21	conj
27	de	ADP	28	case
28	ses	DET	28	det
29	enquêtes	NOUN	21	nmod
30	...	PUNCT	3	punct