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:
Londýňanům rve srdce, kreslí jejich krví magické obrazce na zeď a astmatickým funěním děsí diváky dalšího thrilleru v našich kinech: ZLOMKU SEKUNDY režiséra Tonyho Maylama.
Postion	Tokenization
1	Londýňanům
2	rve
3	srdce
4	,
5	kreslí
6	jejich
7	krví
8	magické
9	obrazce
10	na
11	zeď
12	a
13	astmatickým
14	funěním
15	děsí
16	diváky
17	dalšího
18	thrilleru
19	v
20	našich
21	kinech
22	:
23	ZLOMKU
24	SEKUNDY
25	režiséra
26	Tonyho
27	Maylama
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Londýňanům	PROPN	2	obl:arg
2	rve	VERB	0	root
3	srdce	NOUN	2	obj
4	,	PUNCT	5	punct
5	kreslí	VERB	2	conj
6	jejich	DET	7	det
7	krví	NOUN	5	obl
8	magické	ADJ	9	amod
9	obrazce	NOUN	5	obj
10	na	ADP	11	case
11	zeď	NOUN	5	obl
12	a	CCONJ	15	cc
13	astmatickým	ADJ	14	amod
14	funěním	NOUN	15	obl
15	děsí	VERB	2	conj
16	diváky	NOUN	15	obj
17	dalšího	ADJ	18	amod
18	thrilleru	NOUN	16	nmod
19	v	ADP	21	case
20	našich	DET	21	det
21	kinech	NOUN	18	nmod
22	:	PUNCT	24	punct
23	ZLOMKU	NOUN	24	nmod
24	SEKUNDY	NOUN	18	appos
25	režiséra	NOUN	24	nmod
26	Tonyho	PROPN	25	flat
27	Maylama	PROPN	25	flat
28	.	PUNCT	2	punct