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:
Zejména Gerald Greenwald získal světovou proslulost během svého působení v nejužším vedení americké automobilky Chrysler, kterou s Lee Iacoccou pomáhal vyvést z hluboké krize.
Postion	Tokenization
1	Zejména
2	Gerald
3	Greenwald
4	získal
5	světovou
6	proslulost
7	během
8	svého
9	působení
10	v
11	nejužším
12	vedení
13	americké
14	automobilky
15	Chrysler
16	,
17	kterou
18	s
19	Lee
20	Iacoccou
21	pomáhal
22	vyvést
23	z
24	hluboké
25	krize
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Zejména	ADV	2	advmod:emph
2	Gerald	PROPN	4	nsubj
3	Greenwald	PROPN	2	flat
4	získal	VERB	0	root
5	světovou	ADJ	6	amod
6	proslulost	NOUN	4	obj
7	během	ADP	9	case
8	svého	DET	9	det
9	působení	NOUN	4	obl
10	v	ADP	12	case
11	nejužším	ADJ	12	amod
12	vedení	NOUN	9	nmod
13	americké	ADJ	14	amod
14	automobilky	NOUN	12	nmod
15	Chrysler	PROPN	14	nmod
16	,	PUNCT	21	punct
17	kterou	DET	22	obj
18	s	ADP	19	case
19	Lee	PROPN	21	obl
20	Iacoccou	PROPN	19	flat
21	pomáhal	VERB	14	acl:relcl
22	vyvést	VERB	21	xcomp
23	z	ADP	25	case
24	hluboké	ADJ	25	amod
25	krize	NOUN	22	obl
26	.	PUNCT	4	punct