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: Manažerský svazový fond se proto neorientuje jen na soustřeďování uchazečů o zaměstnání a nabídku firem při jejich umístění, ale věnuje významnou pozornost práci s uchazeči a nalezení profesí, ve kterých zájemci mohou najít uplatnění podle svých dosavadních činností a podle poptávky.
Position	Tokenization	UPOS	Head	Deprel
1	Manažerský	ADJ	3	amod
2	svazový	ADJ	3	amod
3	fond	NOUN	6	nsubj
4	se	PRON	6	expl:pv
5	proto	CCONJ	6	cc
6	neorientuje	VERB	0	root
7	jen	PART	9	advmod:emph
8	na	ADP	9	case
9	soustřeďování	NOUN	6	obl:arg
10	uchazečů	NOUN	9	nmod
11	o	ADP	12	case
12	zaměstnání	NOUN	10	nmod
13	a	CCONJ	14	cc
14	nabídku	NOUN	9	conj
15	firem	NOUN	14	nmod
16	při	ADP	18	case
17	jejich	DET	18	det
18	umístění	NOUN	14	nmod
19	,	PUNCT	21	punct
20	ale	CCONJ	21	cc
21	věnuje	VERB	6	conj
22	významnou	ADJ	23	amod
23	pozornost	NOUN	21	obj
24	práci	NOUN	21	obl:arg
25	s	ADP	26	case
26	uchazeči	NOUN	24	nmod
27	a	CCONJ	28	cc
28	nalezení	NOUN	24	conj
29	profesí	NOUN	28	nmod
30	,	PUNCT	34	punct
31	ve	ADP	32	case
32	kterých	DET	34	obl
33	zájemci	NOUN	34	nsubj
34	mohou	VERB	29	acl:relcl
35	najít	VERB	34	xcomp
36	uplatnění	NOUN	35	obj
37	podle	ADP	40	case
38	svých	DET	40	det
39	dosavadních	ADJ	40	amod
40	činností	NOUN	36	nmod
41	a	CCONJ	43	cc
42	podle	ADP	43	case
43	poptávky	NOUN	40	conj
44	.	PUNCT	6	punct