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:
If you get caught in traffic and are a couple minutes late they make you re-schedule... for 6 weeks later.
Postion	Tokenization
1	If
2	you
3	get
4	caught
5	in
6	traffic
7	and
8	are
9	a
10	couple
11	minutes
12	late
13	they
14	make
15	you
16	re-schedule
17	...
18	for
19	6
20	weeks
21	later
22	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	you	PRON	4	nsubj:pass
3	get	AUX	4	aux:pass
4	caught	VERB	14	advcl
5	in	ADP	6	case
6	traffic	NOUN	4	obl
7	and	CCONJ	12	cc
8	are	AUX	12	cop
9	a	DET	11	det
10	couple	NOUN	11	compound
11	minutes	NOUN	12	obl:npmod
12	late	ADJ	4	conj
13	they	PRON	14	nsubj
14	make	VERB	0	root
15	you	PRON	14	obj
16	re-schedule	VERB	14	xcomp
17	...	PUNCT	16	punct
18	for	ADP	20	case
19	6	NUM	20	nummod
20	weeks	NOUN	16	obl
21	later	ADV	20	advmod
22	.	PUNCT	14	punct