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:
Barcelona se quedó ayer sin ningún vuelo directo a Nueva York después de que a mediodía despegara el último avión de la compañía norteamericana Delta Airlines con destino a la ciudad estadounidense.
Postion	Tokenization
1	Barcelona
2	se
3	quedó
4	ayer
5	sin
6	ningún
7	vuelo
8	directo
9	a
10	Nueva
11	York
12	después
13	de
14	que
15	a
16	mediodía
17	despegara
18	el
19	último
20	avión
21	de
22	la
23	compañía
24	norteamericana
25	Delta
26	Airlines
27	con
28	destino
29	a
30	la
31	ciudad
32	estadounidense
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Barcelona	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	quedó	VERB	0	root
4	ayer	ADV	3	advmod
5	sin	ADP	7	case
6	ningún	DET	7	det
7	vuelo	NOUN	3	obj
8	directo	ADJ	7	amod
9	a	ADP	10	case
10	Nueva	PROPN	7	nmod
11	York	PROPN	10	flat
12	después	ADV	3	advmod
13	de	ADP	17	mark
14	que	SCONJ	17	mark
15	a	ADP	17	advmod
16	mediodía	NOUN	15	fixed
17	despegara	VERB	12	advcl
18	el	DET	20	det
19	último	ADJ	20	amod
20	avión	NOUN	17	nsubj
21	de	ADP	23	case
22	la	DET	23	det
23	compañía	NOUN	20	nmod
24	norteamericana	ADJ	23	amod
25	Delta	PROPN	23	appos
26	Airlines	PROPN	25	flat
27	con	ADP	28	case
28	destino	NOUN	20	nmod
29	a	ADP	31	case
30	la	DET	31	det
31	ciudad	NOUN	28	nmod
32	estadounidense	ADJ	31	amod
33	.	PUNCT	3	punct