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:
Je možné, že kdyby vlády zprivatizovaly civilní výrobu v podnicích ZTS již před dvěma nebo třemi roky, nebyly by dnešní sociální důsledky tak tvrdé.
Postion	Tokenization
1	Je
2	možné
3	,
4	že
5	kdyby
6	když
7	by
8	vlády
9	zprivatizovaly
10	civilní
11	výrobu
12	v
13	podnicích
14	ZTS
15	již
16	před
17	dvěma
18	nebo
19	třemi
20	roky
21	,
22	nebyly
23	by
24	dnešní
25	sociální
26	důsledky
27	tak
28	tvrdé
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	2	cop
2	možné	ADJ	0	root
3	,	PUNCT	27	punct
4	že	SCONJ	27	mark
5	kdyby	_	None	_
6	když	SCONJ	8	mark
7	by	AUX	8	aux
8	vlády	NOUN	8	nsubj
9	zprivatizovaly	VERB	27	advcl
10	civilní	ADJ	10	amod
11	výrobu	NOUN	8	obj
12	v	ADP	12	case
13	podnicích	NOUN	10	nmod
14	ZTS	PROPN	12	nmod
15	již	ADV	19	advmod:emph
16	před	ADP	19	case
17	dvěma	NUM	19	nummod
18	nebo	CCONJ	18	cc
19	třemi	NUM	16	conj
20	roky	NOUN	8	obl
21	,	PUNCT	8	punct
22	nebyly	AUX	27	cop
23	by	AUX	27	aux
24	dnešní	ADJ	25	amod
25	sociální	ADJ	25	amod
26	důsledky	NOUN	27	nsubj
27	tak	ADV	27	advmod
28	tvrdé	ADJ	2	csubj
29	.	PUNCT	2	punct