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:
V rámci divize např. proběhla výběrová řízení na rekonstrukci a využití bývalé výpravní budovy Praha- Vyšehrad a na dostavbu a využití výpravní budovy v Karlových Varech.
Postion	Tokenization
1	V
2	rámci
3	divize
4	např
5	.
6	proběhla
7	výběrová
8	řízení
9	na
10	rekonstrukci
11	a
12	využití
13	bývalé
14	výpravní
15	budovy
16	Praha
17	-
18	Vyšehrad
19	a
20	na
21	dostavbu
22	a
23	využití
24	výpravní
25	budovy
26	v
27	Karlových
28	Varech
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	rámci	NOUN	1	fixed
3	divize	NOUN	6	obl
4	např	ADV	6	advmod:emph
5	.	PUNCT	4	punct
6	proběhla	VERB	0	root
7	výběrová	ADJ	8	amod
8	řízení	NOUN	6	nsubj
9	na	ADP	10	case
10	rekonstrukci	NOUN	8	nmod
11	a	CCONJ	12	cc
12	využití	NOUN	10	conj
13	bývalé	ADJ	15	amod
14	výpravní	ADJ	15	amod
15	budovy	NOUN	12	nmod
16	Praha	PROPN	15	nmod
17	-	PUNCT	18	punct
18	Vyšehrad	PROPN	16	nmod
19	a	CCONJ	21	cc
20	na	ADP	21	case
21	dostavbu	NOUN	10	conj
22	a	CCONJ	23	cc
23	využití	NOUN	21	conj
24	výpravní	ADJ	25	amod
25	budovy	NOUN	23	nmod
26	v	ADP	28	case
27	Karlových	ADJ	28	amod
28	Varech	PROPN	25	nmod
29	.	PUNCT	6	punct