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:
Tal revisión crítica ha seguido con el par de grandes textos que son El rodaballo y Es cuento largo, admirablemente traducidos por Miguel Sáenz.
Postion	Tokenization
1	Tal
2	revisión
3	crítica
4	ha
5	seguido
6	con
7	el
8	par
9	de
10	grandes
11	textos
12	que
13	son
14	El
15	rodaballo
16	y
17	Es
18	cuento
19	largo
20	,
21	admirablemente
22	traducidos
23	por
24	Miguel
25	Sáenz
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tal	DET	2	det
2	revisión	NOUN	5	nsubj
3	crítica	ADJ	2	amod
4	ha	AUX	5	aux
5	seguido	VERB	0	root
6	con	ADP	8	case
7	el	DET	8	det
8	par	NOUN	5	obl
9	de	ADP	11	case
10	grandes	ADJ	11	amod
11	textos	NOUN	8	nmod
12	que	PRON	15	nsubj
13	son	AUX	15	cop
14	El	DET	15	det
15	rodaballo	PROPN	11	acl
16	y	CCONJ	17	cc
17	Es	PROPN	15	conj
18	cuento	PROPN	17	flat
19	largo	PROPN	17	flat
20	,	PUNCT	22	punct
21	admirablemente	ADV	22	advmod
22	traducidos	ADJ	11	amod
23	por	ADP	24	case
24	Miguel	PROPN	22	obj
25	Sáenz	PROPN	24	flat
26	.	PUNCT	5	punct