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:
Natáčeli v reálu a vyhýbali se ateliérovým scénám, lehké přenosné kamery jim umožnily větší pohyblivost a výrazně ovlivnily konečný tvar, jenž získal větší dynamiku.
Postion	Tokenization
1	Natáčeli
2	v
3	reálu
4	a
5	vyhýbali
6	se
7	ateliérovým
8	scénám
9	,
10	lehké
11	přenosné
12	kamery
13	jim
14	umožnily
15	větší
16	pohyblivost
17	a
18	výrazně
19	ovlivnily
20	konečný
21	tvar
22	,
23	jenž
24	získal
25	větší
26	dynamiku
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Natáčeli	VERB	0	root
2	v	ADP	3	case
3	reálu	NOUN	1	obl
4	a	CCONJ	5	cc
5	vyhýbali	VERB	1	conj
6	se	PRON	5	expl:pv
7	ateliérovým	ADJ	8	amod
8	scénám	NOUN	5	obl:arg
9	,	PUNCT	14	punct
10	lehké	ADJ	12	amod
11	přenosné	ADJ	12	amod
12	kamery	NOUN	14	nsubj
13	jim	PRON	14	obl:arg
14	umožnily	VERB	1	conj
15	větší	ADJ	16	amod
16	pohyblivost	NOUN	14	obj
17	a	CCONJ	19	cc
18	výrazně	ADV	19	advmod
19	ovlivnily	VERB	14	conj
20	konečný	ADJ	21	amod
21	tvar	NOUN	19	obj
22	,	PUNCT	24	punct
23	jenž	PRON	24	nsubj
24	získal	VERB	21	acl:relcl
25	větší	ADJ	26	amod
26	dynamiku	NOUN	24	obj
27	.	PUNCT	1	punct