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:
V dobrodružném příběhu o přípravě a uskutečnění útěku válečných zajatců z nacistického koncentráku dominuje postava plukovníka US Army von Ryana , muže , který připravil perfektní plán úniku .
Postion	Tokenization
1	V
2	dobrodružném
3	příběhu
4	o
5	přípravě
6	a
7	uskutečnění
8	útěku
9	válečných
10	zajatců
11	z
12	nacistického
13	koncentráku
14	dominuje
15	postava
16	plukovníka
17	US
18	Army
19	von
20	Ryana
21	,
22	muže
23	,
24	který
25	připravil
26	perfektní
27	plán
28	úniku
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	dobrodružném	ADJ	3	amod
3	příběhu	NOUN	14	obl
4	o	ADP	5	case
5	přípravě	NOUN	3	nmod
6	a	CCONJ	7	cc
7	uskutečnění	NOUN	5	conj
8	útěku	NOUN	5	nmod
9	válečných	ADJ	10	amod
10	zajatců	NOUN	8	nmod
11	z	ADP	13	case
12	nacistického	ADJ	13	amod
13	koncentráku	NOUN	8	nmod
14	dominuje	VERB	0	root
15	postava	NOUN	14	nsubj
16	plukovníka	NOUN	15	nmod
17	US	ADJ	16	nmod
18	Army	PROPN	17	flat:foreign
19	von	ADP	16	flat
20	Ryana	PROPN	16	flat
21	,	PUNCT	22	punct
22	muže	NOUN	16	appos
23	,	PUNCT	25	punct
24	který	DET	25	nsubj
25	připravil	VERB	22	acl:relcl
26	perfektní	ADJ	27	amod
27	plán	NOUN	25	obj
28	úniku	NOUN	27	nmod
29	.	PUNCT	14	punct