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:
Some places do the registration right at the hospital....in some smaller places, you need to register your child's birth at the town hall/registrar's office.
Postion	Tokenization
1	Some
2	places
3	do
4	the
5	registration
6	right
7	at
8	the
9	hospital
10	....
11	in
12	some
13	smaller
14	places
15	,
16	you
17	need
18	to
19	register
20	your
21	child's
22	child
23	's
24	birth
25	at
26	the
27	town
28	hall
29	/
30	registrar
31	's
32	office
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Some	DET	2	det
2	places	NOUN	3	nsubj
3	do	VERB	0	root
4	the	DET	5	det
5	registration	NOUN	3	obj
6	right	ADV	5	advmod
7	at	ADP	9	case
8	the	DET	9	det
9	hospital	NOUN	3	obl
10	....	PUNCT	3	punct
11	in	ADP	14	case
12	some	DET	14	det
13	smaller	ADJ	14	amod
14	places	NOUN	17	obl
15	,	PUNCT	17	punct
16	you	PRON	17	nsubj
17	need	VERB	3	parataxis
18	to	PART	19	mark
19	register	VERB	17	xcomp
20	your	PRON	21	nmod:poss
21	child's	_	None	_
22	child	NOUN	23	nmod:poss
23	's	PART	21	case
24	birth	NOUN	19	obj
25	at	ADP	27	case
26	the	DET	27	det
27	town	NOUN	27	compound
28	hall	NOUN	19	obl
29	/	PUNCT	27	punct
30	registrar	NOUN	31	nmod:poss
31	's	PART	29	case
32	office	NOUN	27	appos
33	.	PUNCT	3	punct