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:
La semana pasada Iberia también suspendió indefinidamente los vuelos diarios entre las dos ciudades a raíz de la crisis aérea generada tras los atentados del pasado 11 de septiembre en EEUU.
Postion	Tokenization
1	La
2	semana
3	pasada
4	Iberia
5	también
6	suspendió
7	indefinidamente
8	los
9	vuelos
10	diarios
11	entre
12	las
13	dos
14	ciudades
15	a
16	raíz
17	de
18	la
19	crisis
20	aérea
21	generada
22	tras
23	los
24	atentados
25	del
26	pasado
27	11
28	de
29	septiembre
30	en
31	EEUU
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	semana	NOUN	6	obl
3	pasada	ADJ	2	amod
4	Iberia	PROPN	6	nsubj
5	también	ADV	6	advmod
6	suspendió	VERB	0	root
7	indefinidamente	ADV	6	advmod
8	los	DET	9	det
9	vuelos	NOUN	6	obj
10	diarios	ADJ	9	amod
11	entre	ADP	14	case
12	las	DET	14	det
13	dos	NUM	12	nummod
14	ciudades	NOUN	9	nmod
15	a	ADP	19	case
16	raíz	NOUN	15	fixed
17	de	ADP	15	fixed
18	la	DET	19	det
19	crisis	NOUN	6	obl
20	aérea	ADJ	19	amod
21	generada	ADJ	19	amod
22	tras	ADP	24	case
23	los	DET	24	det
24	atentados	NOUN	21	obl
25	del	ADP	27	case
26	pasado	ADJ	27	amod
27	11	NUM	24	nmod
28	de	ADP	29	case
29	septiembre	NOUN	27	compound
30	en	ADP	31	case
31	EEUU	PROPN	24	nmod
32	.	PUNCT	6	punct