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: V NHL odehrál jen 13 utkání v Chicagu pod koučem Mikem Keenanem, který dnes působí v St. Louis a jak se nedávno vyjádřil, rád by ve svém týmu opět viděl Tichého, jenž je nejlépe střílejícím obráncem Denveru.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	NHL	PROPN	3	obl
3	odehrál	VERB	0	root
4	jen	PART	5	advmod:emph
5	13	NUM	6	nummod:gov
6	utkání	NOUN	3	obj
7	v	ADP	8	case
8	Chicagu	PROPN	3	obl
9	pod	ADP	10	case
10	koučem	NOUN	3	obl
11	Mikem	PROPN	10	flat
12	Keenanem	PROPN	10	flat
13	,	PUNCT	16	punct
14	který	DET	16	nsubj
15	dnes	ADV	16	advmod
16	působí	VERB	10	acl:relcl
17	v	ADP	20	case
18	St	ADJ	20	amod
19	.	PUNCT	18	punct
20	Louis	PROPN	16	obl
21	a	CCONJ	33	cc
22	jak	SCONJ	25	mark
23	se	PRON	25	expl:pv
24	nedávno	ADV	25	advmod
25	vyjádřil	VERB	33	parataxis
26	,	PUNCT	25	punct
27	rád	ADJ	33	xcomp
28	by	AUX	33	aux
29	ve	ADP	31	case
30	svém	DET	31	det
31	týmu	NOUN	33	obl
32	opět	ADV	33	advmod
33	viděl	VERB	3	conj
34	Tichého	PROPN	33	iobj
35	,	PUNCT	40	punct
36	jenž	PRON	40	nsubj
37	je	AUX	40	cop
38	nejlépe	ADV	39	advmod
39	střílejícím	ADJ	40	amod
40	obráncem	NOUN	34	acl:relcl
41	Denveru	PROPN	40	nmod
42	.	PUNCT	3	punct