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:
Obuchi fue sustituido al frente del gobierno por Yoshiro Mori, quien era el secretario general del partido Liberal Demócrata durante su gobierno.
Postion	Tokenization
1	Obuchi
2	fue
3	sustituido
4	al
5	frente
6	del
7	gobierno
8	por
9	Yoshiro
10	Mori
11	,
12	quien
13	era
14	el
15	secretario
16	general
17	del
18	partido
19	Liberal
20	Demócrata
21	durante
22	su
23	gobierno
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Obuchi	PROPN	3	nsubj
2	fue	AUX	3	aux
3	sustituido	VERB	0	root
4	al	ADP	7	case
5	frente	NOUN	4	fixed
6	del	ADP	4	fixed
7	gobierno	NOUN	3	obl
8	por	ADP	9	case
9	Yoshiro	PROPN	3	obj
10	Mori	PROPN	9	flat
11	,	PUNCT	15	punct
12	quien	PRON	15	nsubj
13	era	AUX	15	cop
14	el	DET	15	det
15	secretario	NOUN	9	acl
16	general	ADJ	15	amod
17	del	ADP	18	case
18	partido	NOUN	15	nmod
19	Liberal	PROPN	18	appos
20	Demócrata	PROPN	19	flat
21	durante	ADP	23	case
22	su	DET	23	det
23	gobierno	NOUN	15	obl
24	.	PUNCT	3	punct