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:
En el relato el léxico se rebaja desde abstracciones posibles a realidades vitales y el conjunto tiene un aire de feria (- Livia y Druso bajaron de las alturas como Dios les dio a entender, pero tratando de no caerse ni hacer el ridículo, porque ya no eran cortesanos, sino reyes.
Postion	Tokenization
1	En
2	el
3	relato
4	el
5	léxico
6	se
7	rebaja
8	desde
9	abstracciones
10	posibles
11	a
12	realidades
13	vitales
14	y
15	el
16	conjunto
17	tiene
18	un
19	aire
20	de
21	feria
22	(
23	-
24	Livia
25	y
26	Druso
27	bajaron
28	de
29	las
30	alturas
31	como
32	Dios
33	les
34	dio
35	a
36	entender
37	,
38	pero
39	tratando
40	de
41	no
42	caerse
43	caer
44	se
45	ni
46	hacer
47	el
48	ridículo
49	,
50	porque
51	ya
52	no
53	eran
54	cortesanos
55	,
56	sino
57	reyes
58	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	relato	NOUN	7	obl
4	el	DET	5	det
5	léxico	NOUN	7	nsubj
6	se	PRON	7	expl:pass
7	rebaja	VERB	0	root
8	desde	ADP	9	case
9	abstracciones	NOUN	7	obl
10	posibles	ADJ	9	amod
11	a	ADP	12	case
12	realidades	NOUN	7	obl
13	vitales	ADJ	12	amod
14	y	CCONJ	17	cc
15	el	DET	16	det
16	conjunto	NOUN	17	nsubj
17	tiene	VERB	7	conj
18	un	DET	19	det
19	aire	NOUN	17	obj
20	de	ADP	21	case
21	feria	NOUN	19	nmod
22	(	PUNCT	27	punct
23	-	PUNCT	27	punct
24	Livia	PROPN	27	nsubj
25	y	CCONJ	26	cc
26	Druso	PROPN	24	conj
27	bajaron	VERB	7	parataxis
28	de	ADP	30	case
29	las	DET	30	det
30	alturas	NOUN	27	obl
31	como	SCONJ	34	mark
32	Dios	PROPN	34	nsubj
33	les	PRON	34	iobj
34	dio	VERB	27	advcl
35	a	ADP	36	mark
36	entender	VERB	34	xcomp
37	,	PUNCT	39	punct
38	pero	CCONJ	39	cc
39	tratando	VERB	34	conj
40	de	ADP	42	mark
41	no	ADV	42	advmod
42	caerse	_	None	_
43	caer	VERB	39	xcomp
44	se	PRON	42	expl:pv
45	ni	CCONJ	45	cc
46	hacer	VERB	42	conj
47	el	DET	47	det
48	ridículo	NOUN	45	obj
49	,	PUNCT	53	punct
50	porque	SCONJ	53	mark
51	ya	ADV	53	advmod
52	no	ADV	53	advmod
53	eran	AUX	53	cop
54	cortesanos	NOUN	39	advcl
55	,	PUNCT	56	punct
56	sino	CCONJ	56	cc
57	reyes	NOUN	53	conj
58	.	PUNCT	7	punct