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:
The African Union is clearly not up to the task of keeping the peace, pledging 300 troops to an area that will need 15,000, according to analysts.
Postion	Tokenization
1	The
2	African
3	Union
4	is
5	clearly
6	not
7	up
8	to
9	the
10	task
11	of
12	keeping
13	the
14	peace
15	,
16	pledging
17	300
18	troops
19	to
20	an
21	area
22	that
23	will
24	need
25	15,000
26	,
27	according
28	to
29	analysts
30	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	African	PROPN	3	compound
3	Union	PROPN	10	nsubj
4	is	AUX	10	cop
5	clearly	ADV	10	advmod
6	not	PART	10	advmod
7	up	ADP	10	case
8	to	ADP	7	fixed
9	the	DET	10	det
10	task	NOUN	0	root
11	of	SCONJ	12	mark
12	keeping	VERB	10	acl
13	the	DET	14	det
14	peace	NOUN	12	obj
15	,	PUNCT	10	punct
16	pledging	VERB	10	advcl
17	300	NUM	18	nummod
18	troops	NOUN	16	obj
19	to	ADP	21	case
20	an	DET	21	det
21	area	NOUN	16	obl
22	that	PRON	24	nsubj
23	will	AUX	24	aux
24	need	VERB	21	acl:relcl
25	15,000	NUM	24	obj
26	,	PUNCT	24	punct
27	according	VERB	29	case
28	to	ADP	27	fixed
29	analysts	NOUN	24	obl
30	.	PUNCT	10	punct