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:
They have sent over their top reporter Ahmed Mansour to the town, and he is spouting all kinds of propaganda hourly reminding me of Al-Sahhaf.
Postion	Tokenization
1	They
2	have
3	sent
4	over
5	their
6	top
7	reporter
8	Ahmed
9	Mansour
10	to
11	the
12	town
13	,
14	and
15	he
16	is
17	spouting
18	all
19	kinds
20	of
21	propaganda
22	hourly
23	reminding
24	me
25	of
26	Al
27	-
28	Sahhaf
29	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	3	nsubj
2	have	AUX	3	aux
3	sent	VERB	0	root
4	over	ADV	3	advmod
5	their	PRON	7	nmod:poss
6	top	ADJ	7	amod
7	reporter	NOUN	3	obj
8	Ahmed	PROPN	7	appos
9	Mansour	PROPN	8	flat
10	to	ADP	12	case
11	the	DET	12	det
12	town	NOUN	3	obl
13	,	PUNCT	17	punct
14	and	CCONJ	17	cc
15	he	PRON	17	nsubj
16	is	AUX	17	aux
17	spouting	VERB	3	conj
18	all	DET	19	det
19	kinds	NOUN	17	obj
20	of	ADP	21	case
21	propaganda	NOUN	19	nmod
22	hourly	ADV	17	advmod
23	reminding	VERB	17	advcl
24	me	PRON	23	obj
25	of	ADP	26	case
26	Al	PROPN	23	obl
27	-	PUNCT	26	punct
28	Sahhaf	PROPN	26	flat
29	.	PUNCT	3	punct