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:
Tuto transakci zařídil předseda TJ Ados Praha Aleš Hájek, který nám řekl: "Němci mají buďto špičkové jezdecké koně, nebo koně podprůměrné.
Postion	Tokenization
1	Tuto
2	transakci
3	zařídil
4	předseda
5	TJ
6	Ados
7	Praha
8	Aleš
9	Hájek
10	,
11	který
12	nám
13	řekl
14	:
15	"
16	Němci
17	mají
18	buďto
19	špičkové
20	jezdecké
21	koně
22	,
23	nebo
24	koně
25	podprůměrné
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tuto	DET	2	det
2	transakci	NOUN	3	obj
3	zařídil	VERB	0	root
4	předseda	NOUN	3	nsubj
5	TJ	PROPN	4	nmod
6	Ados	PROPN	5	nmod
7	Praha	PROPN	6	nmod
8	Aleš	PROPN	4	flat
9	Hájek	PROPN	4	flat
10	,	PUNCT	13	punct
11	který	DET	13	nsubj
12	nám	PRON	13	obl:arg
13	řekl	VERB	4	acl:relcl
14	:	PUNCT	17	punct
15	"	PUNCT	17	punct
16	Němci	PROPN	17	nsubj
17	mají	VERB	13	ccomp
18	buďto	CCONJ	21	cc
19	špičkové	ADJ	21	amod
20	jezdecké	ADJ	21	amod
21	koně	NOUN	17	obj
22	,	PUNCT	24	punct
23	nebo	CCONJ	24	cc
24	koně	NOUN	21	conj
25	podprůměrné	ADJ	24	amod
26	.	PUNCT	3	punct