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:
Misión complicada, a tenor de que "en Barcelona se mueven oficialmente unas 300 personas sin hogar cada noche", una cifra anecdótica frente las que atesoran las urbes norteamericanas.
Postion	Tokenization
1	Misión
2	complicada
3	,
4	a
5	tenor
6	de
7	que
8	"
9	en
10	Barcelona
11	se
12	mueven
13	oficialmente
14	unas
15	300
16	personas
17	sin
18	hogar
19	cada
20	noche
21	"
22	,
23	una
24	cifra
25	anecdótica
26	frente
27	las
28	que
29	atesoran
30	las
31	urbes
32	norteamericanas
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Misión	NOUN	0	root
2	complicada	ADJ	1	amod
3	,	PUNCT	12	punct
4	a	ADP	12	mark
5	tenor	NOUN	4	fixed
6	de	ADP	4	fixed
7	que	SCONJ	12	mark
8	"	PUNCT	12	punct
9	en	ADP	10	case
10	Barcelona	PROPN	12	obl
11	se	PRON	12	expl:pv
12	mueven	VERB	1	acl
13	oficialmente	ADV	12	advmod
14	unas	PRON	15	nmod
15	300	NUM	16	nummod
16	personas	NOUN	12	nsubj
17	sin	ADP	18	case
18	hogar	NOUN	16	nmod
19	cada	DET	20	det
20	noche	NOUN	12	obl
21	"	PUNCT	12	punct
22	,	PUNCT	24	punct
23	una	DET	24	det
24	cifra	NOUN	1	appos
25	anecdótica	ADJ	24	amod
26	frente	ADV	25	advmod
27	las	DET	29	det
28	que	PRON	29	obj
29	atesoran	VERB	26	advcl
30	las	DET	31	det
31	urbes	NOUN	29	nsubj
32	norteamericanas	ADJ	31	amod
33	.	PUNCT	1	punct