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:
Estarán de acuerdo conmigo que hubiera sido mejor el análisis de las previsibles dificultades en la implantación del fatídico decreto que llegar a la actual situación, en la que los auténticamente enfrentados - - los defensores de la vía MIR (incluidos la mayoría de médicos de hospitales públicos que secundaron la huelga el pasado Martes) y la Administración estatal - - pretenden buscar soluciones técnicamente aceptables en un marco distorsionado por el conflicto y las consiguientes presiones de terceros.
Postion	Tokenization
1	Estarán
2	de
3	acuerdo
4	conmigo
5	que
6	hubiera
7	sido
8	mejor
9	el
10	análisis
11	de
12	las
13	previsibles
14	dificultades
15	en
16	la
17	implantación
18	del
19	fatídico
20	decreto
21	que
22	llegar
23	a
24	la
25	actual
26	situación
27	,
28	en
29	la
30	que
31	los
32	auténticamente
33	enfrentados
34	-
35	-
36	los
37	defensores
38	de
39	la
40	vía
41	MIR
42	(
43	incluidos
44	la
45	mayoría
46	de
47	médicos
48	de
49	hospitales
50	públicos
51	que
52	secundaron
53	la
54	huelga
55	el
56	pasado
57	Martes
58	)
59	y
60	la
61	Administración
62	estatal
63	-
64	-
65	pretenden
66	buscar
67	soluciones
68	técnicamente
69	aceptables
70	en
71	un
72	marco
73	distorsionado
74	por
75	el
76	conflicto
77	y
78	las
79	consiguientes
80	presiones
81	de
82	terceros
83	.
Position	Tokenization	UPOS	Head	Deprel
1	Estarán	AUX	2	cop
2	de	ADP	0	root
3	acuerdo	NOUN	2	fixed
4	conmigo	PRON	2	obl
5	que	SCONJ	8	mark
6	hubiera	AUX	8	aux
7	sido	AUX	8	cop
8	mejor	ADJ	2	advcl
9	el	DET	10	det
10	análisis	NOUN	8	nsubj
11	de	ADP	14	case
12	las	DET	14	det
13	previsibles	ADJ	14	amod
14	dificultades	NOUN	10	nmod
15	en	ADP	17	case
16	la	DET	17	det
17	implantación	NOUN	14	nmod
18	del	ADP	20	case
19	fatídico	ADJ	20	amod
20	decreto	NOUN	17	nmod
21	que	SCONJ	22	mark
22	llegar	VERB	8	advcl
23	a	ADP	26	case
24	la	DET	26	det
25	actual	ADJ	26	amod
26	situación	NOUN	22	obl
27	,	PUNCT	65	punct
28	en	ADP	30	case
29	la	DET	30	det
30	que	PRON	65	obl
31	los	DET	33	det
32	auténticamente	ADV	33	advmod
33	enfrentados	ADJ	65	nsubj
34	-	PUNCT	37	punct
35	-	PUNCT	37	punct
36	los	DET	37	det
37	defensores	NOUN	33	obj
38	de	ADP	40	case
39	la	DET	40	det
40	vía	NOUN	37	nmod
41	MIR	PROPN	40	appos
42	(	PUNCT	43	punct
43	incluidos	VERB	37	acl
44	la	DET	45	det
45	mayoría	NOUN	43	nsubj
46	de	ADP	47	case
47	médicos	NOUN	45	nmod
48	de	ADP	49	case
49	hospitales	NOUN	47	nmod
50	públicos	ADJ	49	amod
51	que	PRON	52	nsubj
52	secundaron	VERB	47	acl
53	la	DET	54	det
54	huelga	NOUN	52	obj
55	el	DET	57	det
56	pasado	ADJ	57	amod
57	Martes	NOUN	52	obl
58	)	PUNCT	43	punct
59	y	CCONJ	61	cc
60	la	DET	61	det
61	Administración	PROPN	37	conj
62	estatal	ADJ	61	amod
63	-	PUNCT	37	punct
64	-	PUNCT	37	punct
65	pretenden	VERB	26	acl
66	buscar	VERB	65	xcomp
67	soluciones	NOUN	66	obj
68	técnicamente	ADV	69	advmod
69	aceptables	ADJ	67	amod
70	en	ADP	72	case
71	un	DET	72	det
72	marco	NOUN	66	obl
73	distorsionado	ADJ	72	amod
74	por	ADP	76	case
75	el	DET	76	det
76	conflicto	NOUN	73	obj
77	y	CCONJ	80	cc
78	las	DET	80	det
79	consiguientes	ADJ	80	amod
80	presiones	NOUN	76	conj
81	de	ADP	82	case
82	terceros	ADJ	80	amod
83	.	PUNCT	2	punct