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:
Texas Gov. George W. Bush is enduring sharp criticism for being unable to name the leaders of four current world hot spots, but President Bill Clinton says Bush "should, and probably will, pick up" those names.
Postion	Tokenization
1	Texas
2	Gov.
3	George
4	W.
5	Bush
6	is
7	enduring
8	sharp
9	criticism
10	for
11	being
12	unable
13	to
14	name
15	the
16	leaders
17	of
18	four
19	current
20	world
21	hot
22	spots
23	,
24	but
25	President
26	Bill
27	Clinton
28	says
29	Bush
30	"
31	should
32	,
33	and
34	probably
35	will
36	,
37	pick
38	up
39	"
40	those
41	names
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Texas	PROPN	2	compound
2	Gov.	PROPN	7	nsubj
3	George	PROPN	2	flat
4	W.	PROPN	2	flat
5	Bush	PROPN	2	flat
6	is	AUX	7	aux
7	enduring	VERB	0	root
8	sharp	ADJ	9	amod
9	criticism	NOUN	7	obj
10	for	SCONJ	12	mark
11	being	AUX	12	cop
12	unable	ADJ	7	advcl
13	to	PART	14	mark
14	name	VERB	12	xcomp
15	the	DET	16	det
16	leaders	NOUN	14	obj
17	of	ADP	22	case
18	four	NUM	22	nummod
19	current	ADJ	22	amod
20	world	NOUN	22	compound
21	hot	ADJ	22	amod
22	spots	NOUN	16	nmod
23	,	PUNCT	28	punct
24	but	CCONJ	28	cc
25	President	PROPN	28	nsubj
26	Bill	PROPN	25	flat
27	Clinton	PROPN	25	flat
28	says	VERB	7	conj
29	Bush	PROPN	31	nsubj
30	"	PUNCT	31	punct
31	should	AUX	28	ccomp
32	,	PUNCT	35	punct
33	and	CCONJ	35	cc
34	probably	ADV	35	advmod
35	will	AUX	31	conj
36	,	PUNCT	37	punct
37	pick	VERB	31	conj
38	up	ADP	37	compound:prt
39	"	PUNCT	37	punct
40	those	DET	41	det
41	names	NOUN	37	obj
42	.	PUNCT	7	punct