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:
Sampras tehdy dokonce dohrával utkání s Courierem v slzách poté, co na něho jeden z fanoušků zakřičel, aby vyhrál už kvůli svému trenérovi.
Postion	Tokenization
1	Sampras
2	tehdy
3	dokonce
4	dohrával
5	utkání
6	s
7	Courierem
8	v
9	slzách
10	poté
11	,
12	co
13	na
14	něho
15	jeden
16	z
17	fanoušků
18	zakřičel
19	,
20	aby
21	aby
22	by
23	vyhrál
24	už
25	kvůli
26	svému
27	trenérovi
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sampras	PROPN	4	nsubj
2	tehdy	ADV	4	advmod
3	dokonce	ADV	4	advmod:emph
4	dohrával	VERB	0	root
5	utkání	NOUN	4	obj
6	s	ADP	7	case
7	Courierem	PROPN	5	nmod
8	v	ADP	9	case
9	slzách	NOUN	4	obl
10	poté	ADV	4	advmod
11	,	PUNCT	18	punct
12	co	SCONJ	18	mark
13	na	ADP	14	case
14	něho	PRON	18	obl:arg
15	jeden	NUM	18	nsubj
16	z	ADP	17	case
17	fanoušků	NOUN	15	nmod
18	zakřičel	VERB	4	advcl
19	,	PUNCT	22	punct
20	aby	_	None	_
21	aby	SCONJ	22	mark
22	by	AUX	22	aux
23	vyhrál	VERB	18	ccomp
24	už	ADV	22	advmod
25	kvůli	ADP	26	case
26	svému	DET	26	det
27	trenérovi	NOUN	22	obl
28	.	PUNCT	4	punct