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:
Tato skutečnost, společně s nízkými zavádějícími cenami některých akcií, zřejmě přispěje k prudkému růstu cen takových titulů, jako SPT Telecom, Chemopetrol, Léčiva atd.
Postion	Tokenization
1	Tato
2	skutečnost
3	,
4	společně
5	s
6	nízkými
7	zavádějícími
8	cenami
9	některých
10	akcií
11	,
12	zřejmě
13	přispěje
14	k
15	prudkému
16	růstu
17	cen
18	takových
19	titulů
20	,
21	jako
22	SPT
23	Telecom
24	,
25	Chemopetrol
26	,
27	Léčiva
28	atd
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	skutečnost	NOUN	13	nsubj
3	,	PUNCT	8	punct
4	společně	ADV	8	case
5	s	ADP	4	fixed
6	nízkými	ADJ	8	amod
7	zavádějícími	ADJ	8	amod
8	cenami	NOUN	13	obl
9	některých	DET	10	det
10	akcií	NOUN	8	nmod
11	,	PUNCT	8	punct
12	zřejmě	ADV	13	advmod
13	přispěje	VERB	0	root
14	k	ADP	16	case
15	prudkému	ADJ	16	amod
16	růstu	NOUN	13	obl:arg
17	cen	NOUN	16	nmod
18	takových	DET	19	det
19	titulů	NOUN	17	nmod
20	,	PUNCT	22	punct
21	jako	SCONJ	22	mark
22	SPT	PROPN	19	dep
23	Telecom	PROPN	22	nmod
24	,	PUNCT	25	punct
25	Chemopetrol	NOUN	22	conj
26	,	PUNCT	27	punct
27	Léčiva	NOUN	22	conj
28	atd	ADV	27	cc
29	.	PUNCT	13	punct