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:
To je zaplněno množstvím miniaturních modelů domů, mostů a nejznámějších pařížských pamětihodností, mezi nimiž se odehrávají příběhy lidiček, které Zazi potkává při svém krátkém pobytu v Paříži.
Postion	Tokenization
1	To
2	je
3	zaplněno
4	množstvím
5	miniaturních
6	modelů
7	domů
8	,
9	mostů
10	a
11	nejznámějších
12	pařížských
13	pamětihodností
14	,
15	mezi
16	nimiž
17	se
18	odehrávají
19	příběhy
20	lidiček
21	,
22	které
23	Zazi
24	potkává
25	při
26	svém
27	krátkém
28	pobytu
29	v
30	Paříži
31	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	3	nsubj
2	je	AUX	3	cop
3	zaplněno	ADJ	0	root
4	množstvím	NOUN	3	obl:arg
5	miniaturních	ADJ	7	amod
6	modelů	NOUN	4	nmod
7	domů	NOUN	6	nmod
8	,	PUNCT	9	punct
9	mostů	NOUN	7	conj
10	a	CCONJ	13	cc
11	nejznámějších	ADJ	13	amod
12	pařížských	ADJ	13	amod
13	pamětihodností	NOUN	7	conj
14	,	PUNCT	18	punct
15	mezi	ADP	16	case
16	nimiž	PRON	18	obl
17	se	PRON	18	expl:pv
18	odehrávají	VERB	7	acl:relcl
19	příběhy	NOUN	18	nsubj
20	lidiček	NOUN	19	nmod
21	,	PUNCT	24	punct
22	které	DET	24	obj
23	Zazi	PROPN	24	nsubj
24	potkává	VERB	20	acl:relcl
25	při	ADP	28	case
26	svém	DET	28	det
27	krátkém	ADJ	28	amod
28	pobytu	NOUN	24	obl
29	v	ADP	30	case
30	Paříži	PROPN	28	nmod
31	.	PUNCT	3	punct