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:
The front-runner for the 2000 Republican presidential nomination faltered Thursday in an international affairs pop quiz posed by Andy Hiller, a political reporter for WHDH-TV in Boston.
Postion	Tokenization
1	The
2	front
3	-
4	runner
5	for
6	the
7	2000
8	Republican
9	presidential
10	nomination
11	faltered
12	Thursday
13	in
14	an
15	international
16	affairs
17	pop
18	quiz
19	posed
20	by
21	Andy
22	Hiller
23	,
24	a
25	political
26	reporter
27	for
28	WHDH
29	-
30	TV
31	in
32	Boston
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	front	ADJ	4	amod
3	-	PUNCT	4	punct
4	runner	NOUN	11	nsubj
5	for	ADP	10	case
6	the	DET	10	det
7	2000	NUM	10	nummod
8	Republican	ADJ	10	amod
9	presidential	ADJ	10	amod
10	nomination	NOUN	4	nmod
11	faltered	VERB	0	root
12	Thursday	PROPN	11	obl:tmod
13	in	ADP	18	case
14	an	DET	18	det
15	international	ADJ	16	amod
16	affairs	NOUN	18	compound
17	pop	NOUN	18	compound
18	quiz	NOUN	11	obl
19	posed	VERB	18	acl
20	by	ADP	21	case
21	Andy	PROPN	19	obl
22	Hiller	PROPN	21	flat
23	,	PUNCT	21	punct
24	a	DET	26	det
25	political	ADJ	26	amod
26	reporter	NOUN	21	appos
27	for	ADP	30	case
28	WHDH	PROPN	30	compound
29	-	PUNCT	30	punct
30	TV	PROPN	26	nmod
31	in	ADP	32	case
32	Boston	PROPN	30	nmod
33	.	PUNCT	11	punct