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:
Karzai categorically said that he has assured Musharraf repeatedly that any adverse action against Pakistan taken by Indian diplomats inside Afghanistan would be acted upon swiftly.
Postion	Tokenization
1	Karzai
2	categorically
3	said
4	that
5	he
6	has
7	assured
8	Musharraf
9	repeatedly
10	that
11	any
12	adverse
13	action
14	against
15	Pakistan
16	taken
17	by
18	Indian
19	diplomats
20	inside
21	Afghanistan
22	would
23	be
24	acted
25	upon
26	swiftly
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Karzai	PROPN	3	nsubj
2	categorically	ADV	3	advmod
3	said	VERB	0	root
4	that	SCONJ	7	mark
5	he	PRON	7	nsubj
6	has	AUX	7	aux
7	assured	VERB	3	ccomp
8	Musharraf	PROPN	7	obj
9	repeatedly	ADV	7	advmod
10	that	SCONJ	24	mark
11	any	DET	13	det
12	adverse	ADJ	13	amod
13	action	NOUN	24	nsubj:pass
14	against	ADP	15	case
15	Pakistan	PROPN	13	nmod
16	taken	VERB	13	acl
17	by	ADP	19	case
18	Indian	ADJ	19	amod
19	diplomats	NOUN	16	obl
20	inside	ADP	21	case
21	Afghanistan	PROPN	19	nmod
22	would	AUX	24	aux
23	be	AUX	24	aux:pass
24	acted	VERB	7	ccomp
25	upon	ADP	24	obl
26	swiftly	ADV	24	advmod
27	.	PUNCT	3	punct