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:
El circo del Poble Espanyol no es el tradicional, sino un circo contemporáneo que utiliza todas las artes escénicas para la creación artística y no incluye números con animales.
Postion	Tokenization
1	El
2	circo
3	del
4	Poble
5	Espanyol
6	no
7	es
8	el
9	tradicional
10	,
11	sino
12	un
13	circo
14	contemporáneo
15	que
16	utiliza
17	todas
18	las
19	artes
20	escénicas
21	para
22	la
23	creación
24	artística
25	y
26	no
27	incluye
28	números
29	con
30	animales
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	circo	NOUN	9	nsubj
3	del	ADP	4	case
4	Poble	PROPN	2	nmod
5	Espanyol	PROPN	4	flat
6	no	ADV	9	advmod
7	es	AUX	9	cop
8	el	DET	9	det
9	tradicional	ADJ	0	root
10	,	PUNCT	13	punct
11	sino	CCONJ	13	cc
12	un	DET	13	det
13	circo	NOUN	9	conj
14	contemporáneo	ADJ	13	amod
15	que	PRON	16	nsubj
16	utiliza	VERB	13	acl
17	todas	DET	18	det
18	las	DET	19	det
19	artes	NOUN	16	obj
20	escénicas	ADJ	19	amod
21	para	ADP	23	case
22	la	DET	23	det
23	creación	NOUN	16	obl
24	artística	ADJ	23	amod
25	y	CCONJ	27	cc
26	no	ADV	27	advmod
27	incluye	VERB	16	conj
28	números	NOUN	27	obj
29	con	ADP	30	case
30	animales	NOUN	28	nmod
31	.	PUNCT	9	punct