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 problem with this argument is that Bush lacked the experience necessary to be president when he ran in 2000, so this sort of cheap shot just hoists him by his own petard.
Postion	Tokenization
1	The
2	problem
3	with
4	this
5	argument
6	is
7	that
8	Bush
9	lacked
10	the
11	experience
12	necessary
13	to
14	be
15	president
16	when
17	he
18	ran
19	in
20	2000
21	,
22	so
23	this
24	sort
25	of
26	cheap
27	shot
28	just
29	hoists
30	him
31	by
32	his
33	own
34	petard
35	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	problem	NOUN	6	nsubj
3	with	ADP	5	case
4	this	DET	5	det
5	argument	NOUN	2	nmod
6	is	VERB	0	root
7	that	SCONJ	9	mark
8	Bush	PROPN	9	nsubj
9	lacked	VERB	6	ccomp
10	the	DET	11	det
11	experience	NOUN	9	obj
12	necessary	ADJ	11	amod
13	to	PART	15	mark
14	be	AUX	15	cop
15	president	NOUN	12	advcl
16	when	SCONJ	18	mark
17	he	PRON	18	nsubj
18	ran	VERB	9	advcl
19	in	ADP	20	case
20	2000	NUM	18	obl
21	,	PUNCT	9	punct
22	so	ADV	29	advmod
23	this	DET	24	det
24	sort	NOUN	29	nsubj
25	of	ADP	27	case
26	cheap	ADJ	27	amod
27	shot	NOUN	24	nmod
28	just	ADV	29	advmod
29	hoists	VERB	9	parataxis
30	him	PRON	29	obj
31	by	ADP	34	case
32	his	PRON	34	nmod:poss
33	own	ADJ	34	amod
34	petard	NOUN	29	obl
35	.	PUNCT	6	punct