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:
Například americký obuvní gigant Nike má na své výplatní listině jen 9000 zaměstnanců, zatímco v subdodavatelských firmách pro něj pracuje 75000 dalších lidí.
Postion	Tokenization
1	Například
2	americký
3	obuvní
4	gigant
5	Nike
6	má
7	na
8	své
9	výplatní
10	listině
11	jen
12	9000
13	zaměstnanců
14	,
15	zatímco
16	v
17	subdodavatelských
18	firmách
19	pro
20	něj
21	pracuje
22	75000
23	dalších
24	lidí
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	4	advmod:emph
2	americký	ADJ	4	amod
3	obuvní	ADJ	4	amod
4	gigant	NOUN	6	nsubj
5	Nike	PROPN	4	nmod
6	má	VERB	0	root
7	na	ADP	10	case
8	své	DET	10	det
9	výplatní	ADJ	10	amod
10	listině	NOUN	6	obl
11	jen	PART	12	advmod:emph
12	9000	NUM	13	nummod:gov
13	zaměstnanců	NOUN	6	obj
14	,	PUNCT	21	punct
15	zatímco	SCONJ	21	mark
16	v	ADP	18	case
17	subdodavatelských	ADJ	18	amod
18	firmách	NOUN	21	obl
19	pro	ADP	20	case
20	něj	PRON	21	obl
21	pracuje	VERB	6	advcl
22	75000	NUM	24	nummod:gov
23	dalších	ADJ	24	amod
24	lidí	NOUN	21	nsubj
25	.	PUNCT	6	punct