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 following Friday, I returned with my car to go ahead and replace the other 3 tires, which were worn.
Postion	Tokenization
1	The
2	following
3	Friday
4	,
5	I
6	returned
7	with
8	my
9	car
10	to
11	go
12	ahead
13	and
14	replace
15	the
16	other
17	3
18	tires
19	,
20	which
21	were
22	worn
23	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	following	VERB	3	amod
3	Friday	PROPN	6	obl:tmod
4	,	PUNCT	6	punct
5	I	PRON	6	nsubj
6	returned	VERB	0	root
7	with	ADP	9	case
8	my	PRON	9	nmod:poss
9	car	NOUN	6	obl
10	to	PART	11	mark
11	go	VERB	6	advcl
12	ahead	ADV	11	advmod
13	and	CCONJ	14	cc
14	replace	VERB	11	conj
15	the	DET	18	det
16	other	ADJ	18	amod
17	3	NUM	18	nummod
18	tires	NOUN	14	obj
19	,	PUNCT	18	punct
20	which	PRON	22	nsubj
21	were	AUX	22	cop
22	worn	ADJ	18	acl:relcl
23	.	PUNCT	6	punct