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:
El caso Baumann empezó el otoño pasado, al dar positivo de nandralona en dos controles consecutivos, realizados en sendos entrenamientos de octubre y noviembre de 1999.
Postion	Tokenization
1	El
2	caso
3	Baumann
4	empezó
5	el
6	otoño
7	pasado
8	,
9	al
10	dar
11	positivo
12	de
13	nandralona
14	en
15	dos
16	controles
17	consecutivos
18	,
19	realizados
20	en
21	sendos
22	entrenamientos
23	de
24	octubre
25	y
26	noviembre
27	de
28	1999
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	caso	NOUN	4	nsubj
3	Baumann	PROPN	2	appos
4	empezó	VERB	0	root
5	el	DET	6	det
6	otoño	NOUN	4	obl
7	pasado	ADJ	6	amod
8	,	PUNCT	10	punct
9	al	ADP	10	mark
10	dar	VERB	4	advcl
11	positivo	ADJ	10	obj
12	de	ADP	13	case
13	nandralona	NOUN	11	nmod
14	en	ADP	16	case
15	dos	NUM	16	nummod
16	controles	NOUN	10	obl
17	consecutivos	ADJ	16	amod
18	,	PUNCT	19	punct
19	realizados	ADJ	16	amod
20	en	ADP	22	case
21	sendos	DET	22	det
22	entrenamientos	NOUN	19	obl
23	de	ADP	24	case
24	octubre	NOUN	22	nmod
25	y	CCONJ	26	cc
26	noviembre	NOUN	24	conj
27	de	ADP	28	case
28	1999	NUM	26	compound
29	.	PUNCT	4	punct