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:
"Letos po mně chtějí 100000 takových přání," řekla Bela Gran Jensenová, která tvrdí, že české a moravské děti kreslí nejlépe na světě.
Postion	Tokenization
1	"
2	Letos
3	po
4	mně
5	chtějí
6	100000
7	takových
8	přání
9	,
10	"
11	řekla
12	Bela
13	Gran
14	Jensenová
15	,
16	která
17	tvrdí
18	,
19	že
20	české
21	a
22	moravské
23	děti
24	kreslí
25	nejlépe
26	na
27	světě
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Letos	ADV	5	advmod
3	po	ADP	4	case
4	mně	PRON	5	obl
5	chtějí	VERB	11	ccomp
6	100000	NUM	8	nummod:gov
7	takových	DET	8	det
8	přání	NOUN	5	obj
9	,	PUNCT	5	punct
10	"	PUNCT	5	punct
11	řekla	VERB	0	root
12	Bela	PROPN	11	nsubj
13	Gran	PROPN	12	flat
14	Jensenová	PROPN	12	flat
15	,	PUNCT	17	punct
16	která	DET	17	nsubj
17	tvrdí	VERB	12	acl:relcl
18	,	PUNCT	24	punct
19	že	SCONJ	24	mark
20	české	ADJ	23	amod
21	a	CCONJ	22	cc
22	moravské	ADJ	20	conj
23	děti	NOUN	24	nsubj
24	kreslí	VERB	17	ccomp
25	nejlépe	ADV	24	advmod
26	na	ADP	27	case
27	světě	NOUN	24	obl
28	.	PUNCT	11	punct