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:
Jsou však i tací, kteří si pocit NDR-generace záměrně pěstují, dodává profesor Reich, který se v nejbližších letech nechce věnovat politice, nýbrž molekulární medicíně na Humboldtově univerzitě.
Postion	Tokenization
1	Jsou
2	však
3	i
4	tací
5	,
6	kteří
7	si
8	pocit
9	NDR
10	-
11	generace
12	záměrně
13	pěstují
14	,
15	dodává
16	profesor
17	Reich
18	,
19	který
20	se
21	v
22	nejbližších
23	letech
24	nechce
25	věnovat
26	politice
27	,
28	nýbrž
29	molekulární
30	medicíně
31	na
32	Humboldtově
33	univerzitě
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Jsou	VERB	15	ccomp
2	však	CCONJ	1	cc
3	i	CCONJ	4	advmod:emph
4	tací	DET	1	nsubj
5	,	PUNCT	13	punct
6	kteří	DET	13	nsubj
7	si	PRON	13	obl
8	pocit	NOUN	13	obj
9	NDR	ADJ	11	amod
10	-	PUNCT	9	punct
11	generace	NOUN	8	nmod
12	záměrně	ADV	13	advmod
13	pěstují	VERB	4	acl:relcl
14	,	PUNCT	1	punct
15	dodává	VERB	0	root
16	profesor	NOUN	15	nsubj
17	Reich	PROPN	16	flat
18	,	PUNCT	24	punct
19	který	DET	24	nsubj
20	se	PRON	25	expl:pv
21	v	ADP	23	case
22	nejbližších	ADJ	23	amod
23	letech	NOUN	24	obl
24	nechce	VERB	16	acl:relcl
25	věnovat	VERB	24	xcomp
26	politice	NOUN	25	obl:arg
27	,	PUNCT	30	punct
28	nýbrž	CCONJ	30	cc
29	molekulární	ADJ	30	amod
30	medicíně	NOUN	26	conj
31	na	ADP	33	case
32	Humboldtově	ADJ	33	amod
33	univerzitě	NOUN	30	nmod
34	.	PUNCT	15	punct