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: Film Twin Peaks, který natočil David Lynch později, má strukturu snu, a úzce se váže na svého televizního předchůdce, bez kterého je téměř nesrozumitelný.
Position	Tokenization	UPOS	Head	Deprel
1	Film	NOUN	11	nsubj
2	Twin	ADJ	3	amod
3	Peaks	PROPN	1	nmod
4	,	PUNCT	6	punct
5	který	DET	6	obj
6	natočil	VERB	1	acl:relcl
7	David	PROPN	6	nsubj
8	Lynch	PROPN	7	flat
9	později	ADV	6	advmod
10	,	PUNCT	6	punct
11	má	VERB	0	root
12	strukturu	NOUN	11	obj
13	snu	NOUN	12	nmod
14	,	PUNCT	18	punct
15	a	CCONJ	18	cc
16	úzce	ADV	18	advmod
17	se	PRON	18	expl:pv
18	váže	VERB	11	conj
19	na	ADP	22	case
20	svého	DET	22	det
21	televizního	ADJ	22	amod
22	předchůdce	NOUN	18	obl:arg
23	,	PUNCT	28	punct
24	bez	ADP	25	case
25	kterého	DET	28	obl
26	je	AUX	28	cop
27	téměř	ADV	28	advmod
28	nesrozumitelný	ADJ	22	acl:relcl
29	.	PUNCT	11	punct