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:
They went the extra mile to repair my cowboy boots-- they had to have a special kind of paper that looked like wood grain to fix the heels.
Postion	Tokenization
1	They
2	went
3	the
4	extra
5	mile
6	to
7	repair
8	my
9	cowboy
10	boots
11	--
12	they
13	had
14	to
15	have
16	a
17	special
18	kind
19	of
20	paper
21	that
22	looked
23	like
24	wood
25	grain
26	to
27	fix
28	the
29	heels
30	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	went	VERB	0	root
3	the	DET	5	det
4	extra	ADJ	5	amod
5	mile	NOUN	2	obj
6	to	PART	7	mark
7	repair	VERB	2	advcl
8	my	PRON	10	nmod:poss
9	cowboy	NOUN	10	compound
10	boots	NOUN	7	obj
11	--	PUNCT	2	punct
12	they	PRON	13	nsubj
13	had	VERB	2	parataxis
14	to	PART	15	mark
15	have	VERB	13	xcomp
16	a	DET	18	det
17	special	ADJ	18	amod
18	kind	NOUN	15	obj
19	of	ADP	20	case
20	paper	NOUN	18	nmod
21	that	PRON	22	nsubj
22	looked	VERB	18	acl:relcl
23	like	ADP	25	case
24	wood	NOUN	25	compound
25	grain	NOUN	22	obl
26	to	PART	27	mark
27	fix	VERB	15	xcomp
28	the	DET	29	det
29	heels	NOUN	27	obj
30	.	PUNCT	2	punct