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:
Unos dos millones de personas participaron ayer en las manifestaciones del Primero de Mayo, día del Trabajo, que se celebraron en Japón.
Postion	Tokenization
1	Unos
2	dos
3	millones
4	de
5	personas
6	participaron
7	ayer
8	en
9	las
10	manifestaciones
11	del
12	Primero
13	de
14	Mayo
15	,
16	día
17	del
18	Trabajo
19	,
20	que
21	se
22	celebraron
23	en
24	Japón
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Unos	PRON	2	nmod
2	dos	NUM	3	nummod
3	millones	NOUN	6	nsubj
4	de	ADP	5	case
5	personas	NOUN	3	nmod
6	participaron	VERB	0	root
7	ayer	ADV	6	advmod
8	en	ADP	10	case
9	las	DET	10	det
10	manifestaciones	NOUN	6	obj
11	del	ADP	12	case
12	Primero	PROPN	10	nmod
13	de	ADP	14	case
14	Mayo	PROPN	12	flat
15	,	PUNCT	16	punct
16	día	NOUN	12	appos
17	del	ADP	18	case
18	Trabajo	PROPN	16	nmod
19	,	PUNCT	16	punct
20	que	PRON	22	nsubj
21	se	PRON	22	expl:pass
22	celebraron	VERB	10	acl
23	en	ADP	24	case
24	Japón	PROPN	22	obl
25	.	PUNCT	6	punct