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:
Otros nombres preciosos para niños y niñas españoles nacidos en estos tiempos serían Hundido Madrid o Césped Del Bernabéu Floro y Floro, o Cabraloca Barça Núñez y Núñez, o, en caso de gemelos, Agujero Banesto y Panoli Morgan Conde y Conde, y desde luego alguna chiquilla vistosa se tendría que llamar Piedra Agujereada En Chalé De Somosaguas González y González.
Postion	Tokenization
1	Otros
2	nombres
3	preciosos
4	para
5	niños
6	y
7	niñas
8	españoles
9	nacidos
10	en
11	estos
12	tiempos
13	serían
14	Hundido
15	Madrid
16	o
17	Césped
18	Del
19	Bernabéu
20	Floro
21	y
22	Floro
23	,
24	o
25	Cabraloca
26	Barça
27	Núñez
28	y
29	Núñez
30	,
31	o
32	,
33	en
34	caso
35	de
36	gemelos
37	,
38	Agujero
39	Banesto
40	y
41	Panoli
42	Morgan
43	Conde
44	y
45	Conde
46	,
47	y
48	desde
49	luego
50	alguna
51	chiquilla
52	vistosa
53	se
54	tendría
55	que
56	llamar
57	Piedra
58	Agujereada
59	En
60	Chalé
61	De
62	Somosaguas
63	González
64	y
65	González
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Otros	DET	2	det
2	nombres	NOUN	14	nsubj
3	preciosos	ADJ	2	amod
4	para	ADP	5	case
5	niños	NOUN	2	nmod
6	y	CCONJ	7	cc
7	niñas	NOUN	5	conj
8	españoles	ADJ	5	amod
9	nacidos	ADJ	5	amod
10	en	ADP	12	case
11	estos	DET	12	det
12	tiempos	NOUN	9	obl
13	serían	AUX	14	cop
14	Hundido	PROPN	0	root
15	Madrid	PROPN	14	flat
16	o	CCONJ	17	cc
17	Césped	PROPN	14	conj
18	Del	ADP	19	case
19	Bernabéu	PROPN	17	flat
20	Floro	PROPN	19	flat
21	y	CCONJ	22	cc
22	Floro	PROPN	19	conj
23	,	PUNCT	25	punct
24	o	CCONJ	25	cc
25	Cabraloca	PROPN	14	conj
26	Barça	PROPN	25	flat
27	Núñez	PROPN	25	flat
28	y	CCONJ	29	cc
29	Núñez	PROPN	25	conj
30	,	PUNCT	25	punct
31	o	CCONJ	38	cc
32	,	PUNCT	34	punct
33	en	ADP	34	case
34	caso	NOUN	38	nmod
35	de	ADP	36	case
36	gemelos	NOUN	34	nmod
37	,	PUNCT	34	punct
38	Agujero	PROPN	14	conj
39	Banesto	PROPN	38	flat
40	y	CCONJ	41	cc
41	Panoli	PROPN	38	conj
42	Morgan	PROPN	41	flat
43	Conde	PROPN	41	flat
44	y	CCONJ	45	cc
45	Conde	PROPN	41	conj
46	,	PUNCT	54	punct
47	y	CCONJ	54	cc
48	desde	NOUN	56	advmod
49	luego	ADV	48	fixed
50	alguna	DET	51	det
51	chiquilla	NOUN	56	nsubj
52	vistosa	ADJ	51	amod
53	se	PRON	56	expl:pv
54	tendría	VERB	14	conj
55	que	SCONJ	56	cc
56	llamar	VERB	54	conj
57	Piedra	PROPN	56	obj
58	Agujereada	PROPN	57	flat
59	En	ADP	60	case
60	Chalé	PROPN	57	flat
61	De	ADP	62	case
62	Somosaguas	PROPN	57	flat
63	González	PROPN	57	flat
64	y	CCONJ	65	cc
65	González	PROPN	57	conj
66	.	PUNCT	14	punct