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:
V žebříčku následuje nové dobrodružství s Arnoldem Schwarzeneggerem s názvem Pravdivé lži (121 milion) a thriller Nebezpečná rychlost (112 milionů), který do české distribuce vstupuje zítra.
Postion	Tokenization
1	V
2	žebříčku
3	následuje
4	nové
5	dobrodružství
6	s
7	Arnoldem
8	Schwarzeneggerem
9	s
10	názvem
11	Pravdivé
12	lži
13	(
14	121
15	milion
16	)
17	a
18	thriller
19	Nebezpečná
20	rychlost
21	(
22	112
23	milionů
24	)
25	,
26	který
27	do
28	české
29	distribuce
30	vstupuje
31	zítra
32	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	žebříčku	NOUN	3	obl
3	následuje	VERB	0	root
4	nové	ADJ	5	amod
5	dobrodružství	NOUN	3	nsubj
6	s	ADP	7	case
7	Arnoldem	PROPN	5	nmod
8	Schwarzeneggerem	PROPN	7	flat
9	s	ADP	10	case
10	názvem	NOUN	5	nmod
11	Pravdivé	ADJ	12	amod
12	lži	NOUN	10	nmod
13	(	PUNCT	5	punct
14	121	NUM	15	nummod
15	milion	NOUN	5	dep
16	)	PUNCT	5	punct
17	a	CCONJ	18	cc
18	thriller	NOUN	5	conj
19	Nebezpečná	ADJ	20	amod
20	rychlost	NOUN	18	nmod
21	(	PUNCT	18	punct
22	112	NUM	23	nummod:gov
23	milionů	NOUN	18	dep
24	)	PUNCT	18	punct
25	,	PUNCT	30	punct
26	který	DET	30	nsubj
27	do	ADP	29	case
28	české	ADJ	29	amod
29	distribuce	NOUN	30	obl
30	vstupuje	VERB	18	acl:relcl
31	zítra	ADV	30	advmod
32	.	PUNCT	3	punct