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 reason he said he didn't put that nail in was because he "didn't want to risk it" with my horse's horrible feet.
Postion	Tokenization
1	The
2	reason
3	he
4	said
5	he
6	didn't
7	did
8	n't
9	put
10	that
11	nail
12	in
13	was
14	because
15	he
16	"
17	did
18	n't
19	want
20	to
21	risk
22	it
23	"
24	with
25	my
26	horse's
27	horse
28	's
29	horrible
30	feet
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	reason	NOUN	12	nsubj
3	he	PRON	4	nsubj
4	said	VERB	2	acl:relcl
5	he	PRON	8	nsubj
6	didn't	_	None	_
7	did	AUX	8	aux
8	n't	PART	8	advmod
9	put	VERB	4	ccomp
10	that	DET	10	det
11	nail	NOUN	8	obj
12	in	ADV	8	advmod
13	was	VERB	0	root
14	because	SCONJ	18	mark
15	he	PRON	18	nsubj
16	"	PUNCT	18	punct
17	did	AUX	18	aux
18	n't	PART	18	advmod
19	want	VERB	12	advcl
20	to	PART	20	mark
21	risk	VERB	18	xcomp
22	it	PRON	20	obj
23	"	PUNCT	20	punct
24	with	ADP	28	case
25	my	PRON	25	nmod:poss
26	horse's	_	None	_
27	horse	NOUN	28	nmod:poss
28	's	PART	25	case
29	horrible	ADJ	28	amod
30	feet	NOUN	20	obl
31	.	PUNCT	12	punct