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:
El nombramiento de Miyazawa, ex primer ministro de 80 años, que repite por tercera vez en su carrera la cartera de Finanzas, fue una confirmación para los analistas de que la política económica de Mori depara pocas sorpresas.
Postion	Tokenization
1	El
2	nombramiento
3	de
4	Miyazawa
5	,
6	ex
7	primer
8	ministro
9	de
10	80
11	años
12	,
13	que
14	repite
15	por
16	tercera
17	vez
18	en
19	su
20	carrera
21	la
22	cartera
23	de
24	Finanzas
25	,
26	fue
27	una
28	confirmación
29	para
30	los
31	analistas
32	de
33	que
34	la
35	política
36	económica
37	de
38	Mori
39	depara
40	pocas
41	sorpresas
42	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	nombramiento	NOUN	28	nsubj
3	de	ADP	4	case
4	Miyazawa	PROPN	2	nmod
5	,	PUNCT	8	punct
6	ex	ADJ	8	amod
7	primer	ADJ	8	amod
8	ministro	NOUN	4	appos
9	de	ADP	11	case
10	80	NUM	11	nummod
11	años	NOUN	8	nmod
12	,	PUNCT	8	punct
13	que	PRON	14	nsubj
14	repite	VERB	4	acl
15	por	ADP	17	case
16	tercera	ADJ	17	amod
17	vez	NOUN	14	obl
18	en	ADP	20	case
19	su	DET	20	det
20	carrera	NOUN	17	nmod
21	la	DET	22	det
22	cartera	NOUN	14	obj
23	de	ADP	24	case
24	Finanzas	PROPN	22	nmod
25	,	PUNCT	14	punct
26	fue	AUX	28	cop
27	una	DET	28	det
28	confirmación	NOUN	0	root
29	para	ADP	31	case
30	los	DET	31	det
31	analistas	NOUN	28	nmod
32	de	ADP	39	mark
33	que	SCONJ	39	mark
34	la	DET	35	det
35	política	NOUN	39	nsubj
36	económica	ADJ	35	amod
37	de	ADP	38	case
38	Mori	PROPN	35	nmod
39	depara	VERB	28	acl
40	pocas	DET	41	det
41	sorpresas	NOUN	39	obj
42	.	PUNCT	28	punct