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:
Počínaje složitou dopravou na Strahov, přeplněným parkovištěm, na kterém nikdo neorganizuje postupné obsazování plochy, až po dlouhé fronty na lístky ještě dvacet minut po výkopu.
Postion	Tokenization
1	Počínaje
2	složitou
3	dopravou
4	na
5	Strahov
6	,
7	přeplněným
8	parkovištěm
9	,
10	na
11	kterém
12	nikdo
13	neorganizuje
14	postupné
15	obsazování
16	plochy
17	,
18	až
19	po
20	dlouhé
21	fronty
22	na
23	lístky
24	ještě
25	dvacet
26	minut
27	po
28	výkopu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Počínaje	VERB	0	root
2	složitou	ADJ	3	amod
3	dopravou	NOUN	1	obl
4	na	ADP	5	case
5	Strahov	PROPN	3	nmod
6	,	PUNCT	8	punct
7	přeplněným	ADJ	8	amod
8	parkovištěm	NOUN	3	conj
9	,	PUNCT	13	punct
10	na	ADP	11	case
11	kterém	DET	13	obl
12	nikdo	PRON	13	nsubj
13	neorganizuje	VERB	8	acl:relcl
14	postupné	ADJ	15	amod
15	obsazování	NOUN	13	obj
16	plochy	NOUN	15	nmod
17	,	PUNCT	21	punct
18	až	PART	21	advmod:emph
19	po	ADP	21	case
20	dlouhé	ADJ	21	amod
21	fronty	NOUN	1	conj
22	na	ADP	23	case
23	lístky	NOUN	21	nmod
24	ještě	ADV	25	advmod:emph
25	dvacet	NUM	26	nummod:gov
26	minut	NOUN	21	nmod
27	po	ADP	28	case
28	výkopu	NOUN	26	nmod
29	.	PUNCT	1	punct