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:
You all remember the Iraqi Minister of Information, Mr. Mouhamad Said al-Sahaf and his press conferences when the US forces were already inside Baghdad.
Postion	Tokenization
1	You
2	all
3	remember
4	the
5	Iraqi
6	Minister
7	of
8	Information
9	,
10	Mr.
11	Mouhamad
12	Said
13	al
14	-
15	Sahaf
16	and
17	his
18	press
19	conferences
20	when
21	the
22	US
23	forces
24	were
25	already
26	inside
27	Baghdad
28	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	all	DET	1	det
3	remember	VERB	0	root
4	the	DET	6	det
5	Iraqi	ADJ	6	amod
6	Minister	PROPN	3	obj
7	of	ADP	8	case
8	Information	PROPN	6	nmod
9	,	PUNCT	6	punct
10	Mr.	PROPN	6	appos
11	Mouhamad	PROPN	10	flat
12	Said	PROPN	10	flat
13	al	PROPN	10	flat
14	-	PUNCT	10	punct
15	Sahaf	PROPN	10	flat
16	and	CCONJ	19	cc
17	his	PRON	19	nmod:poss
18	press	NOUN	19	compound
19	conferences	NOUN	6	conj
20	when	SCONJ	27	mark
21	the	DET	23	det
22	US	PROPN	23	compound
23	forces	NOUN	27	nsubj
24	were	AUX	27	cop
25	already	ADV	27	advmod
26	inside	ADP	27	case
27	Baghdad	PROPN	19	acl
28	.	PUNCT	3	punct