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:
Klient by měl například získat informace - jaké katalogy existují, čím se liší, který z katalogů je pro jeho potřeby a účely asi nejlepší.
Postion	Tokenization
1	Klient
2	by
3	měl
4	například
5	získat
6	informace
7	-
8	jaké
9	katalogy
10	existují
11	,
12	čím
13	se
14	liší
15	,
16	který
17	z
18	katalogů
19	je
20	pro
21	jeho
22	potřeby
23	a
24	účely
25	asi
26	nejlepší
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Klient	NOUN	3	nsubj
2	by	AUX	3	aux
3	měl	VERB	0	root
4	například	ADV	5	advmod
5	získat	VERB	3	xcomp
6	informace	NOUN	5	obj
7	-	PUNCT	10	punct
8	jaké	DET	9	det
9	katalogy	NOUN	10	nsubj
10	existují	VERB	6	acl
11	,	PUNCT	14	punct
12	čím	PRON	14	obl
13	se	PRON	14	expl:pv
14	liší	VERB	10	conj
15	,	PUNCT	26	punct
16	který	DET	26	nsubj
17	z	ADP	18	case
18	katalogů	NOUN	16	nmod
19	je	AUX	26	cop
20	pro	ADP	22	case
21	jeho	DET	22	det
22	potřeby	NOUN	26	obl
23	a	CCONJ	24	cc
24	účely	NOUN	22	conj
25	asi	PART	26	advmod:emph
26	nejlepší	ADJ	10	conj
27	.	PUNCT	3	punct