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:
La preparación de este especial de Nochevieja coincide con uno de los momentos más dulces de Comediants, que parecen especializarse en proyectos relacionados con el tiempo, el paso del siglo.
Postion	Tokenization
1	La
2	preparación
3	de
4	este
5	especial
6	de
7	Nochevieja
8	coincide
9	con
10	uno
11	de
12	los
13	momentos
14	más
15	dulces
16	de
17	Comediants
18	,
19	que
20	parecen
21	especializarse
22	especializar
23	se
24	en
25	proyectos
26	relacionados
27	con
28	el
29	tiempo
30	,
31	el
32	paso
33	del
34	siglo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	preparación	NOUN	8	nsubj
3	de	ADP	5	case
4	este	DET	5	det
5	especial	NOUN	2	nmod
6	de	ADP	7	case
7	Nochevieja	PROPN	5	nmod
8	coincide	VERB	0	root
9	con	ADP	10	case
10	uno	PRON	8	obj
11	de	ADP	13	case
12	los	DET	13	det
13	momentos	NOUN	10	nmod
14	más	ADV	15	advmod
15	dulces	ADJ	13	amod
16	de	ADP	17	case
17	Comediants	PROPN	13	nmod
18	,	PUNCT	20	punct
19	que	PRON	20	nsubj
20	parecen	VERB	17	acl
21	especializarse	_	None	_
22	especializar	VERB	20	xcomp
23	se	PRON	21	expl:pv
24	en	ADP	24	case
25	proyectos	NOUN	21	obj
26	relacionados	ADJ	24	amod
27	con	ADP	28	case
28	el	DET	28	det
29	tiempo	NOUN	25	obj
30	,	PUNCT	28	punct
31	el	DET	31	det
32	paso	NOUN	28	appos
33	del	ADP	33	case
34	siglo	NOUN	31	nmod
35	.	PUNCT	8	punct