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 tendence bude, též kvůli oživení poptávky, letos pokračovat v zesílené formě a ještě více příští rok, pokud Čína vývoz neobnoví.
Postion	Tokenization
1	Tato
2	tendence
3	bude
4	,
5	též
6	kvůli
7	oživení
8	poptávky
9	,
10	letos
11	pokračovat
12	v
13	zesílené
14	formě
15	_
16	a
17	ještě
18	více
19	příští
20	rok
21	,
22	pokud
23	Čína
24	vývoz
25	neobnoví
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	tendence	NOUN	11	nsubj
3	bude	AUX	11	aux
4	,	PUNCT	7	punct
5	též	ADV	7	advmod:emph
6	kvůli	ADP	7	case
7	oživení	NOUN	11	obl
8	poptávky	NOUN	7	nmod
9	,	PUNCT	7	punct
10	letos	ADV	11	advmod
11	pokračovat	VERB	0	root
12	v	ADP	14	case
13	zesílené	ADJ	14	amod
14	formě	NOUN	11	obl
15	_	_	None	_
16	a	CCONJ	17	cc
17	ještě	ADV	17	advmod:emph
18	více	ADV	11	conj
19	příští	ADJ	19	amod
20	rok	NOUN	17	orphan
21	,	PUNCT	24	punct
22	pokud	SCONJ	24	mark
23	Čína	PROPN	24	nsubj
24	vývoz	NOUN	24	obj
25	neobnoví	VERB	17	orphan
26	.	PUNCT	11	punct