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: Baťa s Hargašem (139 b.) z Dukly Trenčín vyhráli šestidenní závody dvojic na velodromu v Brně - 2. Buchta - Soukup (Favorit Brno) 132, 3. Kotzmann - Tenor (Rak.) 121.
Position	Tokenization	UPOS	Head	Deprel
1	Baťa	PROPN	12	nsubj
2	s	ADP	3	case
3	Hargašem	PROPN	1	nmod
4	(	PUNCT	1	punct
5	139	NUM	1	dep
6	b	NOUN	5	nmod
7	.	PUNCT	6	punct
8	)	PUNCT	1	punct
9	z	ADP	10	case
10	Dukly	PROPN	1	nmod
11	Trenčín	PROPN	10	nmod
12	vyhráli	VERB	0	root
13	šestidenní	ADJ	14	amod
14	závody	NOUN	12	obj
15	dvojic	NOUN	14	nmod
16	na	ADP	17	case
17	velodromu	NOUN	14	nmod
18	v	ADP	19	case
19	Brně	PROPN	17	nmod
20	_	_	None	_
21	-	PUNCT	21	punct
22	2	NUM	12	conj
23	.	PUNCT	21	punct
24	Buchta	PROPN	21	orphan
25	-	PUNCT	25	punct
26	Soukup	PROPN	23	conj
27	(	PUNCT	23	punct
28	Favorit	NOUN	23	dep
29	Brno	PROPN	27	nmod
30	)	PUNCT	23	punct
31	132	NUM	21	orphan
32	,	PUNCT	21	punct
33	3	NUM	21	orphan
34	.	PUNCT	32	punct
35	Kotzmann	PROPN	21	orphan
36	-	PUNCT	36	punct
37	Tenor	NOUN	34	conj
38	(	PUNCT	34	punct
39	Rak	PROPN	34	dep
40	.	PUNCT	38	punct
41	)	PUNCT	34	punct
42	121	NUM	21	orphan
43	.	PUNCT	12	punct