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:
Brány strahovského stadionu se pro davy diváků, z nichž mnozí přijeli z okolních států (především Polska a Slovenska), otevřely těsně před šestou.
Postion	Tokenization
1	Brány
2	strahovského
3	stadionu
4	se
5	pro
6	davy
7	diváků
8	,
9	z
10	nichž
11	mnozí
12	přijeli
13	z
14	okolních
15	států
16	(
17	především
18	Polska
19	a
20	Slovenska
21	)
22	,
23	otevřely
24	těsně
25	před
26	šestou
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Brány	NOUN	23	nsubj
2	strahovského	ADJ	3	amod
3	stadionu	NOUN	1	nmod
4	se	PRON	23	expl:pv
5	pro	ADP	6	case
6	davy	NOUN	23	obl
7	diváků	NOUN	6	nmod
8	,	PUNCT	12	punct
9	z	ADP	10	case
10	nichž	PRON	11	nmod
11	mnozí	ADJ	12	nsubj
12	přijeli	VERB	7	acl:relcl
13	z	ADP	15	case
14	okolních	ADJ	15	amod
15	států	NOUN	12	obl
16	(	PUNCT	18	punct
17	především	ADV	18	advmod:emph
18	Polska	PROPN	15	nmod
19	a	CCONJ	20	cc
20	Slovenska	PROPN	18	conj
21	)	PUNCT	18	punct
22	,	PUNCT	12	punct
23	otevřely	VERB	0	root
24	těsně	ADV	23	advmod
25	před	ADP	26	case
26	šestou	ADJ	24	obl
27	.	PUNCT	23	punct