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 also claimed not to see anything wrong with the blower fan (a seperate issue), but when I drove the car home I had the same symptoms.
Postion	Tokenization
1	They
2	also
3	claimed
4	not
5	to
6	see
7	anything
8	wrong
9	with
10	the
11	blower
12	fan
13	(
14	a
15	seperate
16	issue
17	)
18	,
19	but
20	when
21	I
22	drove
23	the
24	car
25	home
26	I
27	had
28	the
29	same
30	symptoms
31	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	3	nsubj
2	also	ADV	3	advmod
3	claimed	VERB	0	root
4	not	ADV	6	advmod
5	to	PART	6	mark
6	see	VERB	3	xcomp
7	anything	PRON	6	obj
8	wrong	ADJ	7	amod
9	with	ADP	12	case
10	the	DET	12	det
11	blower	NOUN	12	compound
12	fan	NOUN	8	obl
13	(	PUNCT	7	punct
14	a	DET	16	det
15	seperate	ADJ	16	amod
16	issue	NOUN	7	parataxis
17	)	PUNCT	7	punct
18	,	PUNCT	27	punct
19	but	CCONJ	27	cc
20	when	SCONJ	22	mark
21	I	PRON	22	nsubj
22	drove	VERB	27	advcl
23	the	DET	24	det
24	car	NOUN	22	obj
25	home	ADV	22	advmod
26	I	PRON	27	nsubj
27	had	VERB	3	conj
28	the	DET	30	det
29	same	ADJ	30	amod
30	symptoms	NOUN	27	obj
31	.	PUNCT	3	punct