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:
César, un dominicano que da clases en Queens, vio durante la primera semana que siguió al ataque una quincena de pupitres vacíos, los de sus alumnos árabes.
Postion	Tokenization
1	César
2	,
3	un
4	dominicano
5	que
6	da
7	clases
8	en
9	Queens
10	,
11	vio
12	durante
13	la
14	primera
15	semana
16	que
17	siguió
18	al
19	ataque
20	una
21	quincena
22	de
23	pupitres
24	vacíos
25	,
26	los
27	de
28	sus
29	alumnos
30	árabes
31	.
Position	Tokenization	UPOS	Head	Deprel
1	César	PROPN	11	nsubj
2	,	PUNCT	4	punct
3	un	DET	4	det
4	dominicano	NOUN	1	appos
5	que	PRON	6	nsubj
6	da	VERB	4	acl
7	clases	NOUN	6	obj
8	en	ADP	9	case
9	Queens	PROPN	6	obl
10	,	PUNCT	4	punct
11	vio	VERB	0	root
12	durante	ADP	15	case
13	la	DET	15	det
14	primera	ADJ	15	amod
15	semana	NOUN	11	obl
16	que	PRON	17	nsubj
17	siguió	VERB	15	acl
18	al	ADP	19	case
19	ataque	NOUN	17	obj
20	una	DET	21	det
21	quincena	NOUN	23	nmod
22	de	ADP	21	case
23	pupitres	NOUN	11	obj
24	vacíos	ADJ	23	amod
25	,	PUNCT	26	punct
26	los	DET	23	det
27	de	ADP	26	case
28	sus	DET	29	det
29	alumnos	NOUN	26	appos
30	árabes	ADJ	29	amod
31	.	PUNCT	11	punct