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:
Dalo by se tedy předpokládat, že i Česká republika jako křižovatka dopravních cest kontinentu se co nejdříve přihlásí k projektu výstavby evropské sítě vysokorychlostních železnic.
Postion	Tokenization
1	Dalo
2	by
3	se
4	tedy
5	předpokládat
6	,
7	že
8	i
9	Česká
10	republika
11	jako
12	křižovatka
13	dopravních
14	cest
15	kontinentu
16	se
17	co
18	nejdříve
19	přihlásí
20	k
21	projektu
22	výstavby
23	evropské
24	sítě
25	vysokorychlostních
26	železnic
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Dalo	VERB	0	root
2	by	AUX	1	aux
3	se	PRON	1	expl:pass
4	tedy	ADV	1	advmod
5	předpokládat	VERB	1	csubj:pass
6	,	PUNCT	19	punct
7	že	SCONJ	19	mark
8	i	CCONJ	10	advmod:emph
9	Česká	ADJ	10	amod
10	republika	NOUN	19	nsubj
11	jako	SCONJ	12	mark
12	křižovatka	NOUN	10	xcomp
13	dopravních	ADJ	14	amod
14	cest	NOUN	12	nmod
15	kontinentu	NOUN	14	nmod
16	se	PRON	19	expl:pv
17	co	ADV	18	advmod
18	nejdříve	ADV	19	advmod
19	přihlásí	VERB	5	ccomp
20	k	ADP	21	case
21	projektu	NOUN	19	obl:arg
22	výstavby	NOUN	21	nmod
23	evropské	ADJ	24	amod
24	sítě	NOUN	22	nmod
25	vysokorychlostních	ADJ	26	amod
26	železnic	NOUN	24	nmod
27	.	PUNCT	1	punct