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: Jeho účastníci se seznámí s teorií a nástroji firmy TMI, s jejichž pomocí každý jednotlivec, tým nebo firma obstojí ve změnovém chaosu a změn může využít k růstu produktivity, ke zlepšení vztahů a kvality.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	2	det
2	účastníci	NOUN	4	nsubj
3	se	PRON	4	obj
4	seznámí	VERB	0	root
5	s	ADP	6	case
6	teorií	NOUN	4	obl:arg
7	a	CCONJ	8	cc
8	nástroji	NOUN	6	conj
9	firmy	NOUN	6	nmod
10	TMI	PROPN	9	nmod
11	,	PUNCT	21	punct
12	s	ADP	14	case
13	jejichž	DET	14	det
14	pomocí	NOUN	21	obl
15	každý	DET	16	det
16	jednotlivec	NOUN	21	nsubj
17	,	PUNCT	18	punct
18	tým	NOUN	16	conj
19	nebo	CCONJ	20	cc
20	firma	NOUN	16	conj
21	obstojí	VERB	6	acl:relcl
22	ve	ADP	24	case
23	změnovém	ADJ	24	amod
24	chaosu	NOUN	21	obl
25	a	CCONJ	27	cc
26	změn	NOUN	28	obl:arg
27	může	VERB	21	conj
28	využít	VERB	27	xcomp
29	k	ADP	30	case
30	růstu	NOUN	28	obl
31	produktivity	NOUN	30	nmod
32	,	PUNCT	34	punct
33	ke	ADP	34	case
34	zlepšení	NOUN	30	conj
35	vztahů	NOUN	34	nmod
36	a	CCONJ	37	cc
37	kvality	NOUN	35	conj
38	.	PUNCT	4	punct