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:
10m - Estimated number of people worldwide who took to the streets on 21 February 2003, in opposition to the invasion of Iraq, the largest simultaneous protest in world history.
Postion	Tokenization
1	10
2	m
3	-
4	Estimated
5	number
6	of
7	people
8	worldwide
9	who
10	took
11	to
12	the
13	streets
14	on
15	21
16	February
17	2003
18	,
19	in
20	opposition
21	to
22	the
23	invasion
24	of
25	Iraq
26	,
27	the
28	largest
29	simultaneous
30	protest
31	in
32	world
33	history
34	.
Position	Tokenization	UPOS	Head	Deprel
1	10	NUM	2	compound
2	m	NUM	0	root
3	-	PUNCT	2	punct
4	Estimated	VERB	5	amod
5	number	NOUN	2	appos
6	of	ADP	7	case
7	people	NOUN	5	nmod
8	worldwide	ADV	7	advmod
9	who	PRON	10	nsubj
10	took	VERB	7	acl:relcl
11	to	ADP	13	case
12	the	DET	13	det
13	streets	NOUN	10	obl
14	on	ADP	16	case
15	21	NUM	16	nummod
16	February	PROPN	10	obl
17	2003	NUM	16	nummod
18	,	PUNCT	10	punct
19	in	ADP	20	case
20	opposition	NOUN	10	obl
21	to	ADP	23	case
22	the	DET	23	det
23	invasion	NOUN	20	nmod
24	of	ADP	25	case
25	Iraq	PROPN	23	nmod
26	,	PUNCT	10	punct
27	the	DET	30	det
28	largest	ADJ	30	amod
29	simultaneous	ADJ	30	amod
30	protest	NOUN	10	parataxis
31	in	ADP	33	case
32	world	NOUN	33	compound
33	history	NOUN	30	nmod
34	.	PUNCT	2	punct