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 hidalgo manchego tampoco escucha jamás a nadie: en vano ZZNM se desgañita señalándole molinos donde él ve gigantes, rebaños de ovejas en lugar de ejércitos o mozas de partido en vez de altas doncellas; y también en vano diversos personajes ponen en duda con mejores o peores razones la existencia de caballeros andantes o la verosimilitud de las novelas por ellos protagonizadas.
Postion	Tokenization
1	El
2	hidalgo
3	manchego
4	tampoco
5	escucha
6	jamás
7	a
8	nadie
9	:
10	en
11	vano
12	ZZNM
13	se
14	desgañita
15	señalándole
16	señalando
17	le
18	molinos
19	donde
20	él
21	ve
22	gigantes
23	,
24	rebaños
25	de
26	ovejas
27	en
28	lugar
29	de
30	ejércitos
31	o
32	mozas
33	de
34	partido
35	en
36	vez
37	de
38	altas
39	doncellas
40	;
41	y
42	también
43	en
44	vano
45	diversos
46	personajes
47	ponen
48	en
49	duda
50	con
51	mejores
52	o
53	peores
54	razones
55	la
56	existencia
57	de
58	caballeros
59	andantes
60	o
61	la
62	verosimilitud
63	de
64	las
65	novelas
66	por
67	ellos
68	protagonizadas
69	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	hidalgo	NOUN	5	nsubj
3	manchego	ADJ	2	amod
4	tampoco	ADV	5	advmod
5	escucha	VERB	0	root
6	jamás	ADV	5	advmod
7	a	ADP	8	case
8	nadie	PRON	5	obj
9	:	PUNCT	14	punct
10	en	ADP	14	advmod
11	vano	NOUN	10	fixed
12	ZZNM	PROPN	14	nsubj
13	se	PRON	14	expl:pv
14	desgañita	VERB	5	advcl
15	señalándole	_	None	_
16	señalando	VERB	14	advcl
17	le	PRON	15	obj
18	molinos	NOUN	15	obj
19	donde	SCONJ	20	mark
20	él	PRON	20	nsubj
21	ve	VERB	17	acl
22	gigantes	NOUN	20	obj
23	,	PUNCT	23	punct
24	rebaños	NOUN	21	conj
25	de	ADP	25	case
26	ovejas	NOUN	23	nmod
27	en	ADP	29	case
28	lugar	NOUN	26	fixed
29	de	ADP	26	fixed
30	ejércitos	NOUN	23	nmod
31	o	CCONJ	31	cc
32	mozas	NOUN	21	conj
33	de	ADP	33	case
34	partido	NOUN	31	nmod
35	en	ADP	38	case
36	vez	NOUN	34	fixed
37	de	ADP	34	fixed
38	altas	ADJ	38	amod
39	doncellas	NOUN	31	nmod
40	;	PUNCT	46	punct
41	y	CCONJ	46	cc
42	también	ADV	42	advmod
43	en	ADP	46	advmod
44	vano	NOUN	42	fixed
45	diversos	DET	45	det
46	personajes	NOUN	46	nsubj
47	ponen	VERB	14	conj
48	en	ADP	48	case
49	duda	NOUN	46	compound
50	con	ADP	53	case
51	mejores	ADJ	53	amod
52	o	CCONJ	52	cc
53	peores	ADJ	50	conj
54	razones	NOUN	46	obl
55	la	DET	55	det
56	existencia	NOUN	46	obj
57	de	ADP	57	case
58	caballeros	NOUN	55	nmod
59	andantes	ADJ	57	amod
60	o	CCONJ	61	cc
61	la	DET	61	det
62	verosimilitud	NOUN	55	conj
63	de	ADP	64	case
64	las	DET	64	det
65	novelas	NOUN	61	nmod
66	por	ADP	66	case
67	ellos	PRON	67	obj
68	protagonizadas	ADJ	64	amod
69	.	PUNCT	5	punct