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:
Sestupný trend by podle jeho slov nastal i bez uvedení novinek na trh, protože český trh je za ostatními novými trhy o krok pozadu v cenovém vývoji.
Postion	Tokenization
1	Sestupný
2	trend
3	by
4	podle
5	jeho
6	slov
7	nastal
8	i
9	bez
10	uvedení
11	novinek
12	na
13	trh
14	,
15	protože
16	český
17	trh
18	je
19	za
20	ostatními
21	novými
22	trhy
23	o
24	krok
25	pozadu
26	v
27	cenovém
28	vývoji
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Sestupný	ADJ	2	amod
2	trend	NOUN	7	nsubj
3	by	AUX	7	aux
4	podle	ADP	6	case
5	jeho	DET	6	det
6	slov	NOUN	7	obl
7	nastal	VERB	0	root
8	i	CCONJ	10	advmod:emph
9	bez	ADP	10	case
10	uvedení	NOUN	7	obl
11	novinek	NOUN	10	nmod
12	na	ADP	13	case
13	trh	NOUN	10	nmod
14	,	PUNCT	18	punct
15	protože	SCONJ	18	mark
16	český	ADJ	17	amod
17	trh	NOUN	18	nsubj
18	je	VERB	7	advcl
19	za	ADP	22	case
20	ostatními	ADJ	22	amod
21	novými	ADJ	22	amod
22	trhy	NOUN	18	obl
23	o	ADP	24	case
24	krok	NOUN	25	obl
25	pozadu	ADV	18	advmod
26	v	ADP	28	case
27	cenovém	ADJ	28	amod
28	vývoji	NOUN	25	obl
29	.	PUNCT	7	punct