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:
Pendía un gran interrogante sobre si era conveniente estrenar en esos momentos una comedia, y ya no digamos con referencias al World Trade Center.
Postion	Tokenization
1	Pendía
2	un
3	gran
4	interrogante
5	sobre
6	si
7	era
8	conveniente
9	estrenar
10	en
11	esos
12	momentos
13	una
14	comedia
15	,
16	y
17	ya
18	no
19	digamos
20	con
21	referencias
22	al
23	World
24	Trade
25	Center
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Pendía	VERB	0	root
2	un	DET	4	det
3	gran	ADJ	4	amod
4	interrogante	NOUN	1	nsubj
5	sobre	ADP	8	mark
6	si	SCONJ	8	mark
7	era	AUX	8	cop
8	conveniente	ADJ	1	advcl
9	estrenar	VERB	8	csubj
10	en	ADP	12	case
11	esos	DET	12	det
12	momentos	NOUN	9	obl
13	una	DET	14	det
14	comedia	NOUN	9	obj
15	,	PUNCT	19	punct
16	y	CCONJ	19	advmod
17	ya	ADV	19	advmod
18	no	ADV	19	advmod
19	digamos	VERB	14	acl
20	con	ADP	19	mark
21	referencias	NOUN	19	nmod
22	al	ADP	23	case
23	World	PROPN	21	nmod
24	Trade	PROPN	23	flat
25	Center	PROPN	23	flat
26	.	PUNCT	1	punct