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:
We went in for a third visit and they fixed it again, but this time when we picked up the car, the radio and clock did not work.
Postion	Tokenization
1	We
2	went
3	in
4	for
5	a
6	third
7	visit
8	and
9	they
10	fixed
11	it
12	again
13	,
14	but
15	this
16	time
17	when
18	we
19	picked
20	up
21	the
22	car
23	,
24	the
25	radio
26	and
27	clock
28	did
29	not
30	work
31	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	went	VERB	0	root
3	in	ADV	2	advmod
4	for	ADP	7	case
5	a	DET	7	det
6	third	ADJ	7	amod
7	visit	NOUN	2	obl
8	and	CCONJ	10	cc
9	they	PRON	10	nsubj
10	fixed	VERB	2	conj
11	it	PRON	10	obj
12	again	ADV	10	advmod
13	,	PUNCT	30	punct
14	but	CCONJ	30	cc
15	this	DET	16	det
16	time	NOUN	30	obl:tmod
17	when	SCONJ	19	mark
18	we	PRON	19	nsubj
19	picked	VERB	30	advcl
20	up	ADP	19	compound:prt
21	the	DET	22	det
22	car	NOUN	19	obj
23	,	PUNCT	30	punct
24	the	DET	25	det
25	radio	NOUN	30	nsubj
26	and	CCONJ	27	cc
27	clock	NOUN	25	conj
28	did	AUX	30	aux
29	not	PART	30	advmod
30	work	VERB	2	conj
31	.	PUNCT	2	punct