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:
No hay más remedio, a la vista del espectáculo bastante espasmódico de este Michigan-Duke, que concluir que salvo milagro ninguno de estos dos equipos dominará el torneo final de la NCAA este año.
Postion	Tokenization
1	No
2	hay
3	más
4	remedio
5	,
6	a
7	la
8	vista
9	del
10	espectáculo
11	bastante
12	espasmódico
13	de
14	este
15	Michigan-Duke
16	,
17	que
18	concluir
19	que
20	salvo
21	milagro
22	ninguno
23	de
24	estos
25	dos
26	equipos
27	dominará
28	el
29	torneo
30	final
31	de
32	la
33	NCAA
34	este
35	año
36	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	hay	AUX	0	root
3	más	ADV	4	advmod
4	remedio	NOUN	2	obj
5	,	PUNCT	8	punct
6	a	ADP	8	case
7	la	DET	8	det
8	vista	NOUN	2	obl
9	del	ADP	10	case
10	espectáculo	NOUN	8	nmod
11	bastante	ADV	12	advmod
12	espasmódico	ADJ	10	amod
13	de	ADP	15	case
14	este	DET	15	det
15	Michigan-Duke	PROPN	10	nmod
16	,	PUNCT	8	punct
17	que	SCONJ	18	mark
18	concluir	VERB	2	advcl
19	que	SCONJ	27	mark
20	salvo	ADP	21	case
21	milagro	NOUN	27	obl
22	ninguno	PRON	27	nsubj
23	de	ADP	26	case
24	estos	DET	26	det
25	dos	NUM	24	nummod
26	equipos	NOUN	22	nmod
27	dominará	VERB	18	ccomp
28	el	DET	29	det
29	torneo	NOUN	27	obj
30	final	ADJ	29	amod
31	de	ADP	33	case
32	la	DET	33	det
33	NCAA	PROPN	29	nmod
34	este	DET	35	det
35	año	NOUN	27	obl
36	.	PUNCT	2	punct