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 telón cayó ayer para ese gran mito del teatro y el cine europeos que fue Vittorio Gassman y miles de italianos quisieron ovacionar su última función.
Postion	Tokenization
1	El
2	telón
3	cayó
4	ayer
5	para
6	ese
7	gran
8	mito
9	del
10	teatro
11	y
12	el
13	cine
14	europeos
15	que
16	fue
17	Vittorio
18	Gassman
19	y
20	miles
21	de
22	italianos
23	quisieron
24	ovacionar
25	su
26	última
27	función
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	telón	NOUN	3	nsubj
3	cayó	VERB	0	root
4	ayer	ADV	3	advmod
5	para	ADP	8	case
6	ese	DET	8	det
7	gran	ADJ	8	amod
8	mito	NOUN	3	obl
9	del	ADP	10	case
10	teatro	NOUN	8	nmod
11	y	CCONJ	13	cc
12	el	DET	13	det
13	cine	NOUN	10	conj
14	europeos	ADJ	10	amod
15	que	PRON	8	acl
16	fue	AUX	15	cop
17	Vittorio	PROPN	15	nsubj
18	Gassman	PROPN	17	flat
19	y	CCONJ	23	cc
20	miles	NUM	23	nsubj
21	de	ADP	22	case
22	italianos	NOUN	20	nmod
23	quisieron	VERB	3	conj
24	ovacionar	VERB	23	xcomp
25	su	DET	27	det
26	última	ADJ	27	amod
27	función	NOUN	24	obj
28	.	PUNCT	3	punct