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:
Zazi v metru pokračuje v linii vlastních dramatizací hradecké činohry a navazuje tak na Saroyanova Tracyho tygra, kterého stejný tvůrčí tým uvedl v loňské sezóně.
Postion	Tokenization
1	Zazi
2	v
3	metru
4	pokračuje
5	v
6	linii
7	vlastních
8	dramatizací
9	hradecké
10	činohry
11	a
12	navazuje
13	tak
14	na
15	Saroyanova
16	Tracyho
17	tygra
18	,
19	kterého
20	stejný
21	tvůrčí
22	tým
23	uvedl
24	v
25	loňské
26	sezóně
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zazi	PROPN	4	nsubj
2	v	ADP	3	case
3	metru	NOUN	1	nmod
4	pokračuje	VERB	0	root
5	v	ADP	6	case
6	linii	NOUN	4	obl:arg
7	vlastních	ADJ	8	amod
8	dramatizací	NOUN	6	nmod
9	hradecké	ADJ	10	amod
10	činohry	NOUN	8	nmod
11	a	CCONJ	12	cc
12	navazuje	VERB	4	conj
13	tak	ADV	12	advmod
14	na	ADP	17	case
15	Saroyanova	ADJ	17	amod
16	Tracyho	PROPN	17	nmod
17	tygra	NOUN	12	obl:arg
18	,	PUNCT	23	punct
19	kterého	DET	23	obj
20	stejný	ADJ	22	amod
21	tvůrčí	ADJ	22	amod
22	tým	NOUN	23	nsubj
23	uvedl	VERB	17	acl:relcl
24	v	ADP	26	case
25	loňské	ADJ	26	amod
26	sezóně	NOUN	23	obl
27	.	PUNCT	4	punct