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:
Před složitými sociálními a psychologickými rozklady a výchovnými programy, které by odstranily zločinnost, preferuje Senát odstranění zločinců, třebaže takové odborné debaty budou jistě pokračovat.
Postion	Tokenization
1	Před
2	složitými
3	sociálními
4	a
5	psychologickými
6	rozklady
7	a
8	výchovnými
9	programy
10	,
11	které
12	by
13	odstranily
14	zločinnost
15	,
16	preferuje
17	Senát
18	odstranění
19	zločinců
20	,
21	třebaže
22	takové
23	odborné
24	debaty
25	budou
26	jistě
27	pokračovat
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Před	ADP	6	case
2	složitými	ADJ	6	amod
3	sociálními	ADJ	6	amod
4	a	CCONJ	5	cc
5	psychologickými	ADJ	3	conj
6	rozklady	NOUN	16	obl:arg
7	a	CCONJ	9	cc
8	výchovnými	ADJ	9	amod
9	programy	NOUN	6	conj
10	,	PUNCT	13	punct
11	které	DET	13	nsubj
12	by	AUX	13	aux
13	odstranily	VERB	6	acl:relcl
14	zločinnost	NOUN	13	obj
15	,	PUNCT	13	punct
16	preferuje	VERB	0	root
17	Senát	NOUN	16	nsubj
18	odstranění	NOUN	16	obj
19	zločinců	NOUN	18	nmod
20	,	PUNCT	27	punct
21	třebaže	SCONJ	27	cc
22	takové	DET	24	det
23	odborné	ADJ	24	amod
24	debaty	NOUN	27	nsubj
25	budou	AUX	27	aux
26	jistě	ADV	27	advmod
27	pokračovat	VERB	16	conj
28	.	PUNCT	16	punct