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:
FC Barcelona dokázala ve 23. kole španělské ligy vyhrát na hřišti Compostely brankami Cruyffa a Beguiristaina a zdá se, že překonala krizi z minulých kol.
Postion	Tokenization
1	FC
2	Barcelona
3	dokázala
4	ve
5	23
6	.
7	kole
8	španělské
9	ligy
10	vyhrát
11	na
12	hřišti
13	Compostely
14	brankami
15	Cruyffa
16	a
17	Beguiristaina
18	a
19	zdá
20	se
21	,
22	že
23	překonala
24	krizi
25	z
26	minulých
27	kol
28	.
Position	Tokenization	UPOS	Head	Deprel
1	FC	PROPN	3	nsubj
2	Barcelona	PROPN	1	nmod
3	dokázala	VERB	0	root
4	ve	ADP	7	case
5	23	NUM	7	nummod
6	.	PUNCT	5	punct
7	kole	NOUN	3	obl
8	španělské	ADJ	9	amod
9	ligy	NOUN	7	nmod
10	vyhrát	VERB	3	xcomp
11	na	ADP	12	case
12	hřišti	NOUN	10	obl
13	Compostely	PROPN	12	nmod
14	brankami	NOUN	10	obl
15	Cruyffa	PROPN	14	nmod
16	a	CCONJ	17	cc
17	Beguiristaina	PROPN	15	conj
18	a	CCONJ	19	cc
19	zdá	VERB	3	conj
20	se	PRON	19	expl:pv
21	,	PUNCT	23	punct
22	že	SCONJ	23	mark
23	překonala	VERB	19	csubj
24	krizi	NOUN	23	obj
25	z	ADP	27	case
26	minulých	ADJ	27	amod
27	kol	NOUN	24	nmod
28	.	PUNCT	3	punct