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 Americans have to put away their free-market fetishism for a while and find ways of creating jobs and pumping money into Iraqi households.
Postion	Tokenization
1	The
2	Americans
3	have
4	to
5	put
6	away
7	their
8	free
9	-
10	market
11	fetishism
12	for
13	a
14	while
15	and
16	find
17	ways
18	of
19	creating
20	jobs
21	and
22	pumping
23	money
24	into
25	Iraqi
26	households
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	Americans	PROPN	3	nsubj
3	have	VERB	0	root
4	to	PART	5	mark
5	put	VERB	3	xcomp
6	away	ADV	5	advmod
7	their	PRON	11	nmod:poss
8	free	ADJ	10	amod
9	-	PUNCT	10	punct
10	market	NOUN	11	compound
11	fetishism	NOUN	5	obj
12	for	ADP	14	case
13	a	DET	14	det
14	while	NOUN	5	obl
15	and	CCONJ	16	cc
16	find	VERB	5	conj
17	ways	NOUN	16	obj
18	of	SCONJ	19	mark
19	creating	VERB	17	acl
20	jobs	NOUN	19	obj
21	and	CCONJ	22	cc
22	pumping	VERB	19	conj
23	money	NOUN	22	obj
24	into	ADP	26	case
25	Iraqi	ADJ	26	amod
26	households	NOUN	22	obl
27	.	PUNCT	3	punct