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 US Red Cross has mobilised thousands of volunteers for its biggest-ever natural disaster effort and federal emergency teams are being dispatched to affected areas.
Postion	Tokenization
1	The
2	US
3	Red
4	Cross
5	has
6	mobilised
7	thousands
8	of
9	volunteers
10	for
11	its
12	biggest
13	-
14	ever
15	natural
16	disaster
17	effort
18	and
19	federal
20	emergency
21	teams
22	are
23	being
24	dispatched
25	to
26	affected
27	areas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	US	PROPN	4	compound
3	Red	PROPN	4	compound
4	Cross	PROPN	6	nsubj
5	has	AUX	6	aux
6	mobilised	VERB	0	root
7	thousands	NOUN	6	obj
8	of	ADP	9	case
9	volunteers	NOUN	7	nmod
10	for	ADP	17	case
11	its	PRON	17	nmod:poss
12	biggest	ADJ	17	amod
13	-	PUNCT	12	punct
14	ever	ADV	12	advmod
15	natural	ADJ	16	amod
16	disaster	NOUN	17	compound
17	effort	NOUN	6	obl
18	and	CCONJ	24	cc
19	federal	ADJ	21	amod
20	emergency	NOUN	21	compound
21	teams	NOUN	24	nsubj:pass
22	are	AUX	24	aux
23	being	AUX	24	aux:pass
24	dispatched	VERB	6	conj
25	to	ADP	27	case
26	affected	VERB	27	amod
27	areas	NOUN	24	obl
28	.	PUNCT	6	punct