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:
A partir de hoy, festividad de la Ascensión, Día del Padre en Alemania y Día Internacional del niño, la capital comienza a llenarse de turistas que aprovechan el "puente" para acudir a alguno de los múltiples acontecimientos que ofrecerá la ciudad.
Postion	Tokenization
1	A
2	partir
3	de
4	hoy
5	,
6	festividad
7	de
8	la
9	Ascensión
10	,
11	Día
12	del
13	Padre
14	en
15	Alemania
16	y
17	Día
18	Internacional
19	del
20	niño
21	,
22	la
23	capital
24	comienza
25	a
26	llenarse
27	llenar
28	se
29	de
30	turistas
31	que
32	aprovechan
33	el
34	"
35	puente
36	"
37	para
38	acudir
39	a
40	alguno
41	de
42	los
43	múltiples
44	acontecimientos
45	que
46	ofrecerá
47	la
48	ciudad
49	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	partir	NOUN	1	fixed
3	de	ADP	1	fixed
4	hoy	ADV	24	advmod
5	,	PUNCT	6	punct
6	festividad	NOUN	4	obl
7	de	ADP	9	case
8	la	DET	9	det
9	Ascensión	PROPN	6	nmod
10	,	PUNCT	11	punct
11	Día	PROPN	6	conj
12	del	ADP	13	case
13	Padre	PROPN	11	flat
14	en	ADP	11	case
15	Alemania	PROPN	11	nmod
16	y	CCONJ	17	cc
17	Día	PROPN	6	conj
18	Internacional	PROPN	17	flat
19	del	ADP	20	case
20	niño	PROPN	17	flat
21	,	PUNCT	4	punct
22	la	DET	23	det
23	capital	NOUN	24	nsubj
24	comienza	VERB	0	root
25	a	ADP	26	mark
26	llenarse	_	None	_
27	llenar	VERB	24	xcomp
28	se	PRON	26	expl:pv
29	de	ADP	29	case
30	turistas	NOUN	26	obj
31	que	PRON	31	nsubj
32	aprovechan	VERB	29	acl
33	el	DET	34	det
34	"	PUNCT	34	punct
35	puente	NOUN	31	obj
36	"	PUNCT	34	punct
37	para	ADP	37	mark
38	acudir	VERB	31	advcl
39	a	ADP	39	case
40	alguno	PRON	37	obl
41	de	ADP	43	case
42	los	DET	43	det
43	múltiples	ADJ	43	amod
44	acontecimientos	NOUN	39	nmod
45	que	PRON	45	obj
46	ofrecerá	VERB	43	acl
47	la	DET	47	det
48	ciudad	NOUN	45	nsubj
49	.	PUNCT	24	punct