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:
"Nacional empezó pisando en falso" tituló el "Diario Deportivo", tras comentar que los dirigidos por Luis Fernando Suárez no tuvieron una buena noche y fueron goleados por 4-0.
Postion	Tokenization
1	"
2	Nacional
3	empezó
4	pisando
5	en
6	falso
7	"
8	tituló
9	el
10	"
11	Diario
12	Deportivo
13	"
14	,
15	tras
16	comentar
17	que
18	los
19	dirigidos
20	por
21	Luis
22	Fernando
23	Suárez
24	no
25	tuvieron
26	una
27	buena
28	noche
29	y
30	fueron
31	goleados
32	por
33	4-0
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Nacional	PROPN	8	obj
3	empezó	PROPN	2	flat
4	pisando	PROPN	2	flat
5	en	ADP	6	case
6	falso	PROPN	2	flat
7	"	PUNCT	2	punct
8	tituló	VERB	0	root
9	el	DET	11	det
10	"	PUNCT	11	punct
11	Diario	PROPN	8	nsubj
12	Deportivo	PROPN	11	flat
13	"	PUNCT	11	punct
14	,	PUNCT	16	punct
15	tras	ADP	16	mark
16	comentar	VERB	8	advcl
17	que	SCONJ	25	mark
18	los	DET	19	det
19	dirigidos	ADJ	25	nsubj
20	por	ADP	21	case
21	Luis	PROPN	19	obj
22	Fernando	PROPN	21	flat
23	Suárez	PROPN	21	flat
24	no	ADV	25	advmod
25	tuvieron	VERB	16	ccomp
26	una	DET	28	det
27	buena	ADJ	28	amod
28	noche	NOUN	25	obj
29	y	CCONJ	31	cc
30	fueron	AUX	31	aux
31	goleados	VERB	25	conj
32	por	ADP	33	case
33	4-0	NUM	31	obl
34	.	PUNCT	8	punct