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:
Es la recreación moderna del profesor Franz de Copenhague, que tantas tardes entretuvo a los lectores del TBO, y como él, hizo una máquina total.
Postion	Tokenization
1	Es
2	la
3	recreación
4	moderna
5	del
6	profesor
7	Franz
8	de
9	Copenhague
10	,
11	que
12	tantas
13	tardes
14	entretuvo
15	a
16	los
17	lectores
18	del
19	TBO
20	,
21	y
22	como
23	él
24	,
25	hizo
26	una
27	máquina
28	total
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	3	cop
2	la	DET	3	det
3	recreación	NOUN	0	root
4	moderna	ADJ	3	amod
5	del	ADP	6	case
6	profesor	NOUN	3	nmod
7	Franz	PROPN	6	appos
8	de	ADP	9	case
9	Copenhague	PROPN	7	flat
10	,	PUNCT	14	punct
11	que	PRON	14	nsubj
12	tantas	DET	13	det
13	tardes	NOUN	14	obl
14	entretuvo	VERB	6	acl
15	a	ADP	17	case
16	los	DET	17	det
17	lectores	NOUN	14	obj
18	del	ADP	19	case
19	TBO	PROPN	17	nmod
20	,	PUNCT	14	punct
21	y	CCONJ	25	cc
22	como	SCONJ	23	mark
23	él	PRON	25	obl
24	,	PUNCT	23	punct
25	hizo	VERB	3	conj
26	una	DET	27	det
27	máquina	NOUN	25	obj
28	total	ADJ	27	amod
29	.	PUNCT	3	punct