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:
Cinco vehículos de bomberos intentan apagar el gran incendio que se extiende por el edificio de la televisión estatal, controlada hasta ahora por las autoridades serbias.
Postion	Tokenization
1	Cinco
2	vehículos
3	de
4	bomberos
5	intentan
6	apagar
7	el
8	gran
9	incendio
10	que
11	se
12	extiende
13	por
14	el
15	edificio
16	de
17	la
18	televisión
19	estatal
20	,
21	controlada
22	hasta
23	ahora
24	por
25	las
26	autoridades
27	serbias
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cinco	NUM	2	nummod
2	vehículos	NOUN	5	nsubj
3	de	ADP	4	case
4	bomberos	NOUN	2	nmod
5	intentan	VERB	0	root
6	apagar	VERB	5	xcomp
7	el	DET	9	det
8	gran	ADJ	9	amod
9	incendio	NOUN	6	obj
10	que	PRON	12	nsubj
11	se	PRON	12	expl:pv
12	extiende	VERB	9	acl
13	por	ADP	15	case
14	el	DET	15	det
15	edificio	NOUN	12	obl
16	de	ADP	18	case
17	la	DET	18	det
18	televisión	NOUN	15	nmod
19	estatal	ADJ	18	amod
20	,	PUNCT	21	punct
21	controlada	ADJ	18	amod
22	hasta	ADP	23	case
23	ahora	ADV	21	advmod
24	por	ADP	26	case
25	las	DET	26	det
26	autoridades	NOUN	21	obj
27	serbias	ADJ	26	amod
28	.	PUNCT	5	punct