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:
Santiago Sanz, tetrapléjico, y Purificación Santamarta, una ciega total que vive en Sydney los sextos Juegos, han conseguido la plata en 5000 y 100 metros, respectivamente.
Postion	Tokenization
1	Santiago
2	Sanz
3	,
4	tetrapléjico
5	,
6	y
7	Purificación
8	Santamarta
9	,
10	una
11	ciega
12	total
13	que
14	vive
15	en
16	Sydney
17	los
18	sextos
19	Juegos
20	,
21	han
22	conseguido
23	la
24	plata
25	en
26	5000
27	y
28	100
29	metros
30	,
31	respectivamente
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Santiago	PROPN	22	nsubj
2	Sanz	PROPN	1	flat
3	,	PUNCT	4	punct
4	tetrapléjico	ADJ	1	amod
5	,	PUNCT	4	punct
6	y	CCONJ	7	cc
7	Purificación	PROPN	1	conj
8	Santamarta	PROPN	7	flat
9	,	PUNCT	11	punct
10	una	DET	11	det
11	ciega	NOUN	7	appos
12	total	ADJ	11	amod
13	que	PRON	14	nsubj
14	vive	VERB	11	acl
15	en	ADP	16	case
16	Sydney	PROPN	14	obl
17	los	DET	19	det
18	sextos	ADJ	19	amod
19	Juegos	PROPN	14	obj
20	,	PUNCT	11	punct
21	han	AUX	22	aux
22	conseguido	VERB	0	root
23	la	DET	24	det
24	plata	NOUN	22	obj
25	en	ADP	26	case
26	5000	NUM	22	obl
27	y	CCONJ	29	cc
28	100	NUM	29	nummod
29	metros	NOUN	26	conj
30	,	PUNCT	31	punct
31	respectivamente	ADV	26	advmod
32	.	PUNCT	22	punct