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:
Rodina tedy v prvních pěti letech transformace společnosti zvláštní krizi nezaznamenala a naopak, jak tvrdí odborníci, vnější ekonomický tlak by ji měl v budoucnu dokonce stmelit.
Postion	Tokenization
1	Rodina
2	tedy
3	v
4	prvních
5	pěti
6	letech
7	transformace
8	společnosti
9	zvláštní
10	krizi
11	nezaznamenala
12	a
13	naopak
14	,
15	jak
16	tvrdí
17	odborníci
18	,
19	vnější
20	ekonomický
21	tlak
22	by
23	ji
24	měl
25	v
26	budoucnu
27	dokonce
28	stmelit
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Rodina	NOUN	11	nsubj
2	tedy	ADV	11	advmod
3	v	ADP	6	case
4	prvních	ADJ	6	amod
5	pěti	NUM	6	nummod
6	letech	NOUN	11	obl
7	transformace	NOUN	6	nmod
8	společnosti	NOUN	7	nmod
9	zvláštní	ADJ	10	amod
10	krizi	NOUN	11	obj
11	nezaznamenala	VERB	0	root
12	a	CCONJ	24	cc
13	naopak	ADV	24	advmod
14	,	PUNCT	16	punct
15	jak	ADV	16	advmod
16	tvrdí	VERB	24	parataxis
17	odborníci	NOUN	16	nsubj
18	,	PUNCT	16	punct
19	vnější	ADJ	21	amod
20	ekonomický	ADJ	21	amod
21	tlak	NOUN	24	nsubj
22	by	AUX	24	aux
23	ji	PRON	28	obj
24	měl	VERB	11	conj
25	v	ADP	26	case
26	budoucnu	NOUN	24	obl
27	dokonce	ADV	28	advmod:emph
28	stmelit	VERB	24	xcomp
29	.	PUNCT	11	punct