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:
Bylo by neštěstím pro oba naše národy, kdyby jejich budoucí vztahy byly trvale zatíženy důsledky podobně problematické stavby, jako je na Dunaji.
Postion	Tokenization
1	Bylo
2	by
3	neštěstím
4	pro
5	oba
6	naše
7	národy
8	,
9	kdyby
10	když
11	by
12	jejich
13	budoucí
14	vztahy
15	byly
16	trvale
17	zatíženy
18	důsledky
19	podobně
20	problematické
21	stavby
22	,
23	jako
24	je
25	na
26	Dunaji
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Bylo	AUX	3	cop
2	by	AUX	3	aux
3	neštěstím	NOUN	0	root
4	pro	ADP	7	case
5	oba	NUM	7	nummod
6	naše	DET	7	det
7	národy	NOUN	3	nmod
8	,	PUNCT	16	punct
9	kdyby	_	None	_
10	když	SCONJ	16	mark
11	by	AUX	16	aux
12	jejich	DET	13	det
13	budoucí	ADJ	13	amod
14	vztahy	NOUN	16	nsubj:pass
15	byly	AUX	16	aux:pass
16	trvale	ADV	16	advmod
17	zatíženy	ADJ	3	nsubj
18	důsledky	NOUN	16	obl:arg
19	podobně	ADV	19	advmod
20	problematické	ADJ	20	amod
21	stavby	NOUN	17	nmod
22	,	PUNCT	23	punct
23	jako	SCONJ	23	mark
24	je	VERB	20	acl
25	na	ADP	25	case
26	Dunaji	PROPN	23	dep
27	.	PUNCT	3	punct