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:
Christ, you'd think America would get a bit tired of these guys treating her like she was populated with nothing but gullible idiots.
Postion	Tokenization
1	Christ
2	,
3	you'd
4	you
5	'd
6	think
7	America
8	would
9	get
10	a
11	bit
12	tired
13	of
14	these
15	guys
16	treating
17	her
18	like
19	she
20	was
21	populated
22	with
23	nothing
24	but
25	gullible
26	idiots
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Christ	INTJ	5	discourse
2	,	PUNCT	5	punct
3	you'd	_	None	_
4	you	PRON	5	nsubj
5	'd	AUX	5	aux
6	think	VERB	0	root
7	America	PROPN	8	nsubj
8	would	AUX	8	aux
9	get	VERB	5	ccomp
10	a	DET	10	det
11	bit	NOUN	11	obl:npmod
12	tired	ADJ	8	xcomp
13	of	SCONJ	15	mark
14	these	DET	14	det
15	guys	NOUN	15	nsubj
16	treating	VERB	11	advcl
17	her	PRON	15	obj
18	like	SCONJ	20	mark
19	she	PRON	20	nsubj:pass
20	was	AUX	20	aux:pass
21	populated	VERB	15	advcl
22	with	ADP	22	case
23	nothing	PRON	20	obl
24	but	ADP	25	case
25	gullible	ADJ	25	amod
26	idiots	NOUN	22	nmod
27	.	PUNCT	5	punct