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: Podle něj nehrozí opakování neúspěchu při pokusu o vstup zahraničního partnera do MEZ Holice, odštěpného závodu Mohelnice: "O Holice měl zájem koncern Asea Brown Boveri.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	něj	PRON	3	obl
3	nehrozí	VERB	0	root
4	opakování	NOUN	3	nsubj
5	neúspěchu	NOUN	4	nmod
6	při	ADP	7	case
7	pokusu	NOUN	5	nmod
8	o	ADP	9	case
9	vstup	NOUN	7	nmod
10	zahraničního	ADJ	11	amod
11	partnera	NOUN	9	nmod
12	do	ADP	13	case
13	MEZ	PROPN	9	nmod
14	Holice	PROPN	13	nmod
15	,	PUNCT	17	punct
16	odštěpného	ADJ	17	amod
17	závodu	NOUN	13	appos
18	Mohelnice	PROPN	17	nmod
19	:	PUNCT	23	punct
20	"	PUNCT	23	punct
21	O	ADP	22	case
22	Holice	PROPN	24	nmod
23	měl	VERB	3	conj
24	zájem	NOUN	23	obj
25	koncern	NOUN	23	nsubj
26	Asea	PROPN	25	nmod
27	Brown	PROPN	26	flat
28	Boveri	PROPN	26	flat
29	.	PUNCT	3	punct