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:
I chalked it up to possible nerve damage, because this is what the vet thought and the other cheek muscle was fine and he had no theeth problems.
Postion	Tokenization
1	I
2	chalked
3	it
4	up
5	to
6	possible
7	nerve
8	damage
9	,
10	because
11	this
12	is
13	what
14	the
15	vet
16	thought
17	and
18	the
19	other
20	cheek
21	muscle
22	was
23	fine
24	and
25	he
26	had
27	no
28	theeth
29	problems
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	chalked	VERB	0	root
3	it	PRON	2	obj
4	up	ADP	2	compound:prt
5	to	ADP	8	case
6	possible	ADJ	8	amod
7	nerve	ADJ	8	amod
8	damage	NOUN	2	obl
9	,	PUNCT	2	punct
10	because	SCONJ	13	mark
11	this	PRON	13	nsubj
12	is	AUX	13	cop
13	what	PRON	2	advcl
14	the	DET	15	det
15	vet	NOUN	16	nsubj
16	thought	VERB	13	acl:relcl
17	and	CCONJ	23	cc
18	the	DET	21	det
19	other	ADJ	21	amod
20	cheek	NOUN	21	compound
21	muscle	NOUN	23	nsubj
22	was	AUX	23	cop
23	fine	ADJ	13	conj
24	and	CCONJ	26	cc
25	he	PRON	26	nsubj
26	had	VERB	13	conj
27	no	DET	29	det
28	theeth	NOUN	29	compound
29	problems	NOUN	26	obj
30	.	PUNCT	2	punct