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:
"Nos dieron unos sandwiches y sacaron diez mantas para todos", se quejó una chica, la cual aseguró que casi ninguno de sus compañeros ha podido dormir.
Postion	Tokenization
1	"
2	Nos
3	dieron
4	unos
5	sandwiches
6	y
7	sacaron
8	diez
9	mantas
10	para
11	todos
12	"
13	,
14	se
15	quejó
16	una
17	chica
18	,
19	la
20	cual
21	aseguró
22	que
23	casi
24	ninguno
25	de
26	sus
27	compañeros
28	ha
29	podido
30	dormir
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Nos	PRON	3	iobj
3	dieron	VERB	15	ccomp
4	unos	DET	5	det
5	sandwiches	NOUN	3	obj
6	y	CCONJ	7	cc
7	sacaron	VERB	3	conj
8	diez	NUM	9	nummod
9	mantas	NOUN	7	obj
10	para	ADP	11	case
11	todos	PRON	7	obj
12	"	PUNCT	3	punct
13	,	PUNCT	3	punct
14	se	PRON	15	expl:pv
15	quejó	VERB	0	root
16	una	DET	17	det
17	chica	NOUN	15	nsubj
18	,	PUNCT	21	punct
19	la	DET	20	det
20	cual	PRON	21	nsubj
21	aseguró	VERB	17	acl
22	que	SCONJ	30	mark
23	casi	ADV	24	advmod
24	ninguno	PRON	30	nsubj
25	de	ADP	27	case
26	sus	DET	27	det
27	compañeros	NOUN	24	nmod
28	ha	AUX	30	aux
29	podido	AUX	30	aux
30	dormir	VERB	21	xcomp
31	.	PUNCT	15	punct