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 text: Ale jsou čtenářsky velmi vděčné, což platí i pro román Tetička Julie a zneuznaný génius, respektive psavec, písař, kde se vyskytly problémy při českém překladu titulu.
Position	Tokenization	UPOS	Head	Deprel
1	Ale	CCONJ	5	cc
2	jsou	AUX	5	cop
3	čtenářsky	ADV	5	advmod
4	velmi	ADV	5	advmod
5	vděčné	ADJ	0	root
6	,	PUNCT	8	punct
7	což	PRON	8	nsubj
8	platí	VERB	5	conj
9	i	CCONJ	11	advmod:emph
10	pro	ADP	11	case
11	román	NOUN	8	obl
12	Tetička	NOUN	11	nmod
13	Julie	PROPN	12	flat
14	a	CCONJ	16	cc
15	zneuznaný	ADJ	16	amod
16	génius	NOUN	12	conj
17	,	PUNCT	19	punct
18	respektive	ADV	19	cc
19	psavec	NOUN	16	appos
20	,	PUNCT	21	punct
21	písař	NOUN	19	appos
22	,	PUNCT	25	punct
23	kde	ADV	25	advmod
24	se	PRON	25	expl:pv
25	vyskytly	VERB	11	acl:relcl
26	problémy	NOUN	25	nsubj
27	při	ADP	29	case
28	českém	ADJ	29	amod
29	překladu	NOUN	25	obl
30	titulu	NOUN	29	nmod
31	.	PUNCT	5	punct