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:
Pomohl otevřený trh do Turecka, podařilo se prodat veškeré zásoby hotových výrobků a začalo se opět plynule vyrábět, i když tak na čtvrt plynu.
Postion	Tokenization
1	Pomohl
2	otevřený
3	trh
4	do
5	Turecka
6	,
7	podařilo
8	se
9	prodat
10	veškeré
11	zásoby
12	hotových
13	výrobků
14	a
15	začalo
16	se
17	opět
18	plynule
19	vyrábět
20	,
21	i
22	když
23	tak
24	na
25	čtvrt
26	plynu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pomohl	VERB	0	root
2	otevřený	ADJ	3	amod
3	trh	NOUN	1	nsubj
4	do	ADP	5	case
5	Turecka	PROPN	3	nmod
6	,	PUNCT	7	punct
7	podařilo	VERB	1	conj
8	se	PRON	7	expl:pv
9	prodat	VERB	7	csubj
10	veškeré	PRON	11	nmod
11	zásoby	NOUN	9	obj
12	hotových	ADJ	13	amod
13	výrobků	NOUN	11	nmod
14	a	CCONJ	15	cc
15	začalo	VERB	1	conj
16	se	PRON	15	expl:pass
17	opět	ADV	15	advmod
18	plynule	ADV	19	advmod
19	vyrábět	VERB	15	xcomp
20	,	PUNCT	23	punct
21	i	CCONJ	23	mark
22	když	SCONJ	21	fixed
23	tak	ADV	15	dep
24	na	ADP	25	case
25	čtvrt	NOUN	23	dep
26	plynu	NOUN	25	nmod
27	.	PUNCT	1	punct