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:
He said it was the same tire, and verified this, after checking both the actual tire on my car and my service papers from earlier in the week.
Postion	Tokenization
1	He
2	said
3	it
4	was
5	the
6	same
7	tire
8	,
9	and
10	verified
11	this
12	,
13	after
14	checking
15	both
16	the
17	actual
18	tire
19	on
20	my
21	car
22	and
23	my
24	service
25	papers
26	from
27	earlier
28	in
29	the
30	week
31	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	said	VERB	0	root
3	it	PRON	7	nsubj
4	was	AUX	7	cop
5	the	DET	7	det
6	same	ADJ	7	amod
7	tire	NOUN	2	ccomp
8	,	PUNCT	10	punct
9	and	CCONJ	10	cc
10	verified	VERB	2	conj
11	this	PRON	10	obj
12	,	PUNCT	10	punct
13	after	SCONJ	14	mark
14	checking	VERB	10	advcl
15	both	CCONJ	18	cc:preconj
16	the	DET	18	det
17	actual	ADJ	18	amod
18	tire	NOUN	14	obj
19	on	ADP	21	case
20	my	PRON	21	nmod:poss
21	car	NOUN	18	nmod
22	and	CCONJ	25	cc
23	my	PRON	25	nmod:poss
24	service	NOUN	25	compound
25	papers	NOUN	18	conj
26	from	ADP	27	case
27	earlier	ADV	25	nmod
28	in	ADP	30	case
29	the	DET	30	det
30	week	NOUN	27	obl
31	.	PUNCT	2	punct