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:
Al igual que su colega de Leipzig, Rainer Hanesch también marchó al Este a las órdenes de su empresa, una inmobiliaria.
Postion	Tokenization
1	Al
2	igual
3	que
4	su
5	colega
6	de
7	Leipzig
8	,
9	Rainer
10	Hanesch
11	también
12	marchó
13	al
14	Este
15	a
16	las
17	órdenes
18	de
19	su
20	empresa
21	,
22	una
23	inmobiliaria
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	5	mark
2	igual	ADJ	1	fixed
3	que	SCONJ	1	fixed
4	su	DET	5	det
5	colega	NOUN	12	obl
6	de	ADP	7	case
7	Leipzig	PROPN	5	nmod
8	,	PUNCT	5	punct
9	Rainer	PROPN	12	nsubj
10	Hanesch	PROPN	9	flat
11	también	ADV	12	advmod
12	marchó	VERB	0	root
13	al	ADP	14	case
14	Este	PROPN	12	obl
15	a	ADP	17	case
16	las	DET	17	det
17	órdenes	NOUN	12	obl
18	de	ADP	20	case
19	su	DET	20	det
20	empresa	NOUN	17	nmod
21	,	PUNCT	23	punct
22	una	DET	23	det
23	inmobiliaria	NOUN	20	appos
24	.	PUNCT	12	punct