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:
Mosques are calling for donating blood, food, and medicine for Fallujah, and several convoys have already headed out for Fallujah, most of them returned later though.
Postion	Tokenization
1	Mosques
2	are
3	calling
4	for
5	donating
6	blood
7	,
8	food
9	,
10	and
11	medicine
12	for
13	Fallujah
14	,
15	and
16	several
17	convoys
18	have
19	already
20	headed
21	out
22	for
23	Fallujah
24	,
25	most
26	of
27	them
28	returned
29	later
30	though
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Mosques	NOUN	3	nsubj
2	are	AUX	3	aux
3	calling	VERB	0	root
4	for	SCONJ	5	mark
5	donating	VERB	3	advcl
6	blood	NOUN	5	obj
7	,	PUNCT	8	punct
8	food	NOUN	6	conj
9	,	PUNCT	11	punct
10	and	CCONJ	11	cc
11	medicine	NOUN	6	conj
12	for	ADP	13	case
13	Fallujah	PROPN	5	obl
14	,	PUNCT	20	punct
15	and	CCONJ	20	cc
16	several	ADJ	17	amod
17	convoys	NOUN	20	nsubj
18	have	AUX	20	aux
19	already	ADV	20	advmod
20	headed	VERB	3	conj
21	out	ADV	20	advmod
22	for	ADP	23	case
23	Fallujah	PROPN	21	obl
24	,	PUNCT	3	punct
25	most	ADJ	28	nsubj
26	of	ADP	27	case
27	them	PRON	25	nmod
28	returned	VERB	3	parataxis
29	later	ADV	28	advmod
30	though	ADV	28	advmod
31	.	PUNCT	3	punct