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:
Nevertheless this places Karzai in a difficult and sensitive situation because he has to maintain excellent relations with both the US and Iran.
Postion	Tokenization
1	Nevertheless
2	this
3	places
4	Karzai
5	in
6	a
7	difficult
8	and
9	sensitive
10	situation
11	because
12	he
13	has
14	to
15	maintain
16	excellent
17	relations
18	with
19	both
20	the
21	US
22	and
23	Iran
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Nevertheless	ADV	3	advmod
2	this	PRON	3	nsubj
3	places	VERB	0	root
4	Karzai	PROPN	3	obj
5	in	ADP	10	case
6	a	DET	10	det
7	difficult	ADJ	10	amod
8	and	CCONJ	9	cc
9	sensitive	ADJ	7	conj
10	situation	NOUN	3	obl
11	because	SCONJ	13	mark
12	he	PRON	13	nsubj
13	has	VERB	3	advcl
14	to	PART	15	mark
15	maintain	VERB	13	xcomp
16	excellent	ADJ	17	amod
17	relations	NOUN	15	obj
18	with	ADP	21	case
19	both	CCONJ	21	cc:preconj
20	the	DET	21	det
21	US	PROPN	17	nmod
22	and	CCONJ	23	cc
23	Iran	PROPN	21	conj
24	.	PUNCT	3	punct