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:
V prvé řadě dvě hmatatelné změny týkající se většiny těch, kdo Mandelu do funkce přivedli - tj. nejchudších černých voličů: těhotné ženy a děti pod šest let mají lékařskou péči zdarma.
Postion	Tokenization
1	V
2	prvé
3	řadě
4	dvě
5	hmatatelné
6	změny
7	týkající
8	se
9	většiny
10	těch
11	,
12	kdo
13	Mandelu
14	do
15	funkce
16	přivedli
17	-
18	tj
19	.
20	nejchudších
21	černých
22	voličů
23	:
24	těhotné
25	ženy
26	a
27	děti
28	pod
29	šest
30	let
31	mají
32	lékařskou
33	péči
34	zdarma
35	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	prvé	ADJ	3	amod
3	řadě	NOUN	0	root
4	dvě	NUM	6	nummod
5	hmatatelné	ADJ	6	amod
6	změny	NOUN	3	dep
7	týkající	ADJ	6	amod
8	se	PRON	7	expl:pv
9	většiny	NOUN	7	obl:arg
10	těch	DET	9	det
11	,	PUNCT	16	punct
12	kdo	PRON	16	nsubj
13	Mandelu	PROPN	16	obj
14	do	ADP	15	case
15	funkce	NOUN	16	obl
16	přivedli	VERB	10	acl:relcl
17	-	PUNCT	22	punct
18	tj	CCONJ	22	cc
19	.	PUNCT	22	punct
20	nejchudších	ADJ	22	amod
21	černých	ADJ	22	amod
22	voličů	NOUN	10	appos
23	:	PUNCT	31	punct
24	těhotné	ADJ	25	amod
25	ženy	NOUN	31	nsubj
26	a	CCONJ	27	cc
27	děti	NOUN	25	conj
28	pod	ADP	30	case
29	šest	NUM	30	nummod:gov
30	let	NOUN	27	nmod
31	mají	VERB	6	appos
32	lékařskou	ADJ	33	amod
33	péči	NOUN	31	obj
34	zdarma	ADV	31	advmod
35	.	PUNCT	3	punct