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:
i have talked to some people that say that a medical exam is an invasion of privacy and other say its a routine thing when entering another country.
Postion	Tokenization
1	i
2	have
3	talked
4	to
5	some
6	people
7	that
8	say
9	that
10	a
11	medical
12	exam
13	is
14	an
15	invasion
16	of
17	privacy
18	and
19	other
20	say
21	its
22	it
23	s
24	a
25	routine
26	thing
27	when
28	entering
29	another
30	country
31	.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	3	nsubj
2	have	AUX	3	aux
3	talked	VERB	0	root
4	to	ADP	6	case
5	some	DET	6	det
6	people	NOUN	3	obl
7	that	PRON	8	nsubj
8	say	VERB	6	acl:relcl
9	that	SCONJ	15	mark
10	a	DET	12	det
11	medical	ADJ	12	amod
12	exam	NOUN	15	nsubj
13	is	AUX	15	cop
14	an	DET	15	det
15	invasion	NOUN	8	ccomp
16	of	ADP	17	case
17	privacy	NOUN	15	nmod
18	and	CCONJ	20	cc
19	other	ADJ	20	nsubj
20	say	VERB	3	conj
21	its	_	None	_
22	it	PRON	25	nsubj
23	s	AUX	25	cop
24	a	DET	25	det
25	routine	NOUN	25	compound
26	thing	NOUN	20	ccomp
27	when	SCONJ	27	mark
28	entering	VERB	25	advcl
29	another	DET	29	det
30	country	NOUN	27	obj
31	.	PUNCT	3	punct