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: "Když vezmete někoho, kdo má rád filmy Quentina Tarantina, poslouchá Kurta Cobaina a čte knihy Williama Burroughse, je jasné, že už zkusil heroin," vysvětluje student Beningtonské vysoké školy.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	23	punct
2	Když	SCONJ	3	mark
3	vezmete	VERB	23	advcl
4	někoho	PRON	3	obj
5	,	PUNCT	7	punct
6	kdo	PRON	7	nsubj
7	má	VERB	4	acl:relcl
8	rád	ADJ	7	iobj
9	filmy	NOUN	7	obj
10	Quentina	PROPN	9	nmod
11	Tarantina	PROPN	10	flat
12	,	PUNCT	13	punct
13	poslouchá	VERB	7	conj
14	Kurta	PROPN	13	obj
15	Cobaina	PROPN	14	flat
16	a	CCONJ	17	cc
17	čte	VERB	7	conj
18	knihy	NOUN	17	obj
19	Williama	PROPN	18	nmod
20	Burroughse	PROPN	19	flat
21	,	PUNCT	7	punct
22	je	AUX	23	cop
23	jasné	ADJ	31	ccomp
24	,	PUNCT	27	punct
25	že	SCONJ	27	mark
26	už	ADV	27	advmod
27	zkusil	VERB	23	csubj
28	heroin	NOUN	27	obj
29	,	PUNCT	23	punct
30	"	PUNCT	23	punct
31	vysvětluje	VERB	0	root
32	student	NOUN	31	nsubj
33	Beningtonské	ADJ	35	amod
34	vysoké	ADJ	35	amod
35	školy	NOUN	32	nmod
36	.	PUNCT	31	punct