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 text: * Na trať své profesionální dráhy nastoupil jako dělník, krátce pracoval jako klinický psycholog, redaktor, později se věnoval různým oblastem psychologie práce v rámci Centra pro psychologii a sociologii v tehdejším jednom z největších elektrotechnických koncernů.
Position	Tokenization	UPOS	Head	Deprel
1	*	PUNCT	7	punct
2	Na	ADP	3	case
3	trať	NOUN	7	obl
4	své	DET	6	det
5	profesionální	ADJ	6	amod
6	dráhy	NOUN	3	nmod
7	nastoupil	VERB	0	root
8	jako	SCONJ	9	mark
9	dělník	NOUN	7	xcomp
10	,	PUNCT	12	punct
11	krátce	ADV	12	advmod
12	pracoval	VERB	7	conj
13	jako	SCONJ	15	cc
14	klinický	ADJ	15	amod
15	psycholog	NOUN	12	xcomp
16	,	PUNCT	17	punct
17	redaktor	NOUN	15	conj
18	,	PUNCT	21	punct
19	později	ADV	21	advmod
20	se	PRON	21	expl:pv
21	věnoval	VERB	7	conj
22	různým	ADJ	23	amod
23	oblastem	NOUN	21	obl:arg
24	psychologie	NOUN	23	nmod
25	práce	NOUN	24	nmod
26	v	ADP	28	case
27	rámci	NOUN	26	fixed
28	Centra	NOUN	21	obl
29	pro	ADP	30	case
30	psychologii	NOUN	28	nmod
31	a	CCONJ	32	cc
32	sociologii	NOUN	30	conj
33	v	ADP	35	case
34	tehdejším	ADJ	35	amod
35	jednom	NUM	21	obl
36	z	ADP	39	case
37	největších	ADJ	39	amod
38	elektrotechnických	ADJ	39	amod
39	koncernů	NOUN	35	nmod
40	.	PUNCT	7	punct