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:
Jeho místo tedy zaujal Tomáš Raszka a k němu přibyl i Jiří Raška, který v součtu tatranského a harrachovského měření sil při škrtnutí horšího z výsledků obsadil třetí místo.
Postion	Tokenization
1	Jeho
2	místo
3	tedy
4	zaujal
5	Tomáš
6	Raszka
7	a
8	k
9	němu
10	přibyl
11	i
12	Jiří
13	Raška
14	,
15	který
16	v
17	součtu
18	tatranského
19	a
20	harrachovského
21	měření
22	sil
23	při
24	škrtnutí
25	horšího
26	z
27	výsledků
28	obsadil
29	třetí
30	místo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	2	det
2	místo	NOUN	4	obj
3	tedy	ADV	4	advmod
4	zaujal	VERB	0	root
5	Tomáš	PROPN	4	nsubj
6	Raszka	PROPN	5	flat
7	a	CCONJ	10	cc
8	k	ADP	9	case
9	němu	PRON	10	obl:arg
10	přibyl	VERB	4	conj
11	i	CCONJ	12	advmod:emph
12	Jiří	PROPN	10	nsubj
13	Raška	PROPN	12	flat
14	,	PUNCT	28	punct
15	který	DET	28	nsubj
16	v	ADP	17	case
17	součtu	NOUN	28	obl
18	tatranského	ADJ	21	amod
19	a	CCONJ	20	cc
20	harrachovského	ADJ	18	conj
21	měření	NOUN	17	nmod
22	sil	NOUN	21	nmod
23	při	ADP	24	case
24	škrtnutí	NOUN	28	obl
25	horšího	ADJ	24	amod
26	z	ADP	27	case
27	výsledků	NOUN	25	obl
28	obsadil	VERB	12	acl:relcl
29	třetí	ADJ	30	amod
30	místo	NOUN	28	obj
31	.	PUNCT	4	punct