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:
Stejnému okruhu problémů se věnoval i ve svém nejskeptičtějším díle Britská nemocnice (1983), které ústřední postava Micka Travise (v podání Malcolma McDowella) propojuje s předchozími dvěma snímky v jakýsi volný seriál.
Postion	Tokenization
1	Stejnému
2	okruhu
3	problémů
4	se
5	věnoval
6	i
7	ve
8	svém
9	nejskeptičtějším
10	díle
11	Britská
12	nemocnice
13	(
14	1983
15	)
16	,
17	které
18	ústřední
19	postava
20	Micka
21	Travise
22	(
23	v
24	podání
25	Malcolma
26	McDowella
27	)
28	propojuje
29	s
30	předchozími
31	dvěma
32	snímky
33	v
34	jakýsi
35	volný
36	seriál
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Stejnému	ADJ	2	amod
2	okruhu	NOUN	5	obl:arg
3	problémů	NOUN	2	nmod
4	se	PRON	5	expl:pv
5	věnoval	VERB	0	root
6	i	CCONJ	10	advmod:emph
7	ve	ADP	10	case
8	svém	DET	10	det
9	nejskeptičtějším	ADJ	10	amod
10	díle	NOUN	5	obl
11	Britská	ADJ	12	amod
12	nemocnice	NOUN	10	nmod
13	(	PUNCT	12	punct
14	1983	NUM	12	dep
15	)	PUNCT	12	punct
16	,	PUNCT	28	punct
17	které	DET	28	obj
18	ústřední	ADJ	19	amod
19	postava	NOUN	28	nsubj
20	Micka	PROPN	19	nmod
21	Travise	PROPN	20	flat
22	(	PUNCT	24	punct
23	v	ADP	24	case
24	podání	NOUN	20	nmod
25	Malcolma	PROPN	24	nmod
26	McDowella	PROPN	25	flat
27	)	PUNCT	24	punct
28	propojuje	VERB	10	acl:relcl
29	s	ADP	32	case
30	předchozími	ADJ	32	amod
31	dvěma	NUM	32	nummod
32	snímky	NOUN	28	obl:arg
33	v	ADP	36	case
34	jakýsi	DET	36	det
35	volný	ADJ	36	amod
36	seriál	NOUN	28	obl
37	.	PUNCT	5	punct