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:
Trpělivě čekat je název článku v New England J. of Med. (323: 604, 1990), ve kterém autor článku rozebírá příčiny dlouhého čekání v čekárnách zdravotnických zařízení v USA.
Postion	Tokenization
1	Trpělivě
2	čekat
3	je
4	název
5	článku
6	v
7	New
8	England
9	J
10	.
11	of
12	Med
13	.
14	(
15	323
16	:
17	604
18	,
19	1990
20	)
21	,
22	ve
23	kterém
24	autor
25	článku
26	rozebírá
27	příčiny
28	dlouhého
29	čekání
30	v
31	čekárnách
32	zdravotnických
33	zařízení
34	v
35	USA
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Trpělivě	ADV	2	advmod
2	čekat	VERB	4	csubj
3	je	AUX	4	cop
4	název	NOUN	0	root
5	článku	NOUN	4	nmod
6	v	ADP	7	case
7	New	ADJ	5	amod
8	England	ADJ	7	flat:foreign
9	J	PROPN	7	nmod
10	.	PUNCT	9	punct
11	of	ADP	12	case
12	Med	PROPN	9	flat:foreign
13	.	PUNCT	12	punct
14	(	PUNCT	15	punct
15	323	NUM	9	nummod
16	:	PUNCT	17	punct
17	604	NUM	15	conj
18	,	PUNCT	19	punct
19	1990	NUM	15	conj
20	)	PUNCT	15	punct
21	,	PUNCT	26	punct
22	ve	ADP	23	case
23	kterém	DET	26	obl
24	autor	NOUN	26	nsubj
25	článku	NOUN	24	nmod
26	rozebírá	VERB	5	acl:relcl
27	příčiny	NOUN	26	obj
28	dlouhého	ADJ	29	amod
29	čekání	NOUN	27	nmod
30	v	ADP	31	case
31	čekárnách	NOUN	29	nmod
32	zdravotnických	ADJ	33	amod
33	zařízení	NOUN	31	nmod
34	v	ADP	35	case
35	USA	PROPN	33	nmod
36	.	PUNCT	4	punct