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:
Anuncian que temen la actitud del Camp Nou para sugerir en voz alta algo así como "No nos vais a pitar, ¿verdad?".
Postion	Tokenization
1	Anuncian
2	que
3	temen
4	la
5	actitud
6	del
7	Camp
8	Nou
9	para
10	sugerir
11	en
12	voz
13	alta
14	algo
15	así
16	como
17	"
18	No
19	nos
20	vais
21	a
22	pitar
23	,
24	¿
25	verdad
26	?
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Anuncian	VERB	0	root
2	que	SCONJ	3	mark
3	temen	VERB	1	ccomp
4	la	DET	5	det
5	actitud	NOUN	3	obj
6	del	ADP	7	case
7	Camp	PROPN	5	nmod
8	Nou	NUM	7	nummod
9	para	ADP	10	mark
10	sugerir	VERB	5	acl
11	en	ADP	12	case
12	voz	NOUN	10	obl
13	alta	ADJ	12	amod
14	algo	PRON	10	obj
15	así	ADV	14	advmod
16	como	SCONJ	18	mark
17	"	PUNCT	18	punct
18	No	PART	14	nmod
19	nos	PRON	18	flat
20	vais	PROPN	19	flat
21	a	ADP	22	case
22	pitar	PROPN	19	flat
23	,	PUNCT	18	punct
24	¿	PUNCT	18	punct
25	verdad	PROPN	18	flat
26	?	PUNCT	18	punct
27	"	PUNCT	18	punct
28	.	PUNCT	1	punct