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:
"Se sabe lo que hay que hacer. El problema es que llega el momento de tomar decisiones, y ese momento es muy duro, y a veces no interesa tomar decisiones", dijo.
Postion	Tokenization
1	"
2	Se
3	sabe
4	lo
5	que
6	hay
7	que
8	hacer
9	.
10	El
11	problema
12	es
13	que
14	llega
15	el
16	momento
17	de
18	tomar
19	decisiones
20	,
21	y
22	ese
23	momento
24	es
25	muy
26	duro
27	,
28	y
29	a
30	veces
31	no
32	interesa
33	tomar
34	decisiones
35	"
36	,
37	dijo
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Se	PRON	3	expl:pass
3	sabe	VERB	37	ccomp
4	lo	PRON	8	det
5	que	PRON	8	obj
6	hay	AUX	3	csubj
7	que	SCONJ	8	cc
8	hacer	VERB	6	conj
9	.	PUNCT	3	punct
10	El	DET	11	det
11	problema	NOUN	12	nsubj
12	es	AUX	3	advcl
13	que	SCONJ	14	mark
14	llega	VERB	12	ccomp
15	el	DET	16	det
16	momento	NOUN	14	nsubj
17	de	ADP	18	mark
18	tomar	VERB	16	acl
19	decisiones	NOUN	18	obj
20	,	PUNCT	26	punct
21	y	CCONJ	26	cc
22	ese	DET	23	det
23	momento	NOUN	26	nsubj
24	es	AUX	26	cop
25	muy	ADV	26	advmod
26	duro	ADJ	12	conj
27	,	PUNCT	32	punct
28	y	CCONJ	32	cc
29	a	ADP	32	advmod
30	veces	NOUN	29	fixed
31	no	ADV	32	advmod
32	interesa	VERB	26	conj
33	tomar	VERB	32	csubj
34	decisiones	NOUN	33	obj
35	"	PUNCT	3	punct
36	,	PUNCT	3	punct
37	dijo	VERB	0	root
38	.	PUNCT	37	punct