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:
Vyučujícím bývá univerzitní pedagog, který má dlouholeté zkušenosti z redaktorské práce, obdobně zkušený vědec z pracoviště mimo univerzitu nebo redaktor "na volné noze".
Postion	Tokenization
1	Vyučujícím
2	bývá
3	univerzitní
4	pedagog
5	,
6	který
7	má
8	dlouholeté
9	zkušenosti
10	z
11	redaktorské
12	práce
13	,
14	obdobně
15	zkušený
16	vědec
17	z
18	pracoviště
19	mimo
20	univerzitu
21	nebo
22	redaktor
23	"
24	na
25	volné
26	noze
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyučujícím	ADJ	0	root
2	bývá	AUX	1	cop
3	univerzitní	ADJ	4	amod
4	pedagog	NOUN	1	nsubj
5	,	PUNCT	7	punct
6	který	DET	7	nsubj
7	má	VERB	4	acl:relcl
8	dlouholeté	ADJ	9	amod
9	zkušenosti	NOUN	7	obj
10	z	ADP	12	case
11	redaktorské	ADJ	12	amod
12	práce	NOUN	9	nmod
13	,	PUNCT	16	punct
14	obdobně	ADV	15	advmod
15	zkušený	NOUN	16	nmod
16	vědec	NOUN	4	conj
17	z	ADP	18	case
18	pracoviště	NOUN	16	nmod
19	mimo	ADP	20	case
20	univerzitu	NOUN	18	nmod
21	nebo	CCONJ	22	cc
22	redaktor	NOUN	4	conj
23	"	PUNCT	26	punct
24	na	ADP	26	case
25	volné	ADJ	26	amod
26	noze	NOUN	22	nmod
27	"	PUNCT	26	punct
28	.	PUNCT	1	punct